diff --git a/TestingOCRDocument.ipynb b/TestingOCRDocument.ipynb new file mode 100644 index 0000000..139c8e7 --- /dev/null +++ b/TestingOCRDocument.ipynb @@ -0,0 +1,1964 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 24, + "id": "driving-selling", + "metadata": {}, + "outputs": [], + "source": [ + "from google.oauth2 import service_account\n", + "import io\n", + "APIKEY = \"AIzaSyDeFGtnonRCKTDloONt24tc6SP3pPqaIsg\"\n", + "project_id= \"292730185360\"\n", + "location = 'us' # Format is 'us' or 'eu'\n", + "processor_id = 'f63982a32a72f28d' # Create processor in Cloud Console\n", + "file_path = \"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew.pdf\"" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "designing-accuracy", + "metadata": {}, + "outputs": [], + "source": [ + "from google.cloud import documentai_v1 as documentai" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "outstanding-breakfast", + "metadata": {}, + "outputs": [], + "source": [ + "# You must set the api_endpoint if you use a location other than 'us', e.g.:\n", + "opts = {}\n", + "if location == \"us\":\n", + " opts = {\"api_endpoint\": \"us-documentai.googleapis.com\"}\n", + "credentials = service_account.Credentials.from_service_account_file(\"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/key.json\")\n", + "client = documentai.DocumentProcessorServiceClient(client_options=opts,credentials=credentials)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "bibliographic-accused", + "metadata": {}, + "outputs": [ + { + "ename": "InvalidArgument", + "evalue": "400 Request contains an invalid argument.", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31m_InactiveRpcError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 56\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 57\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 58\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[0;32m 922\u001b[0m wait_for_ready, compression)\n\u001b[1;32m--> 923\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0m_end_unary_response_blocking\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 924\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m_end_unary_response_blocking\u001b[1;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[0;32m 825\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 826\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0m_InactiveRpcError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 827\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.INVALID_ARGUMENT\n\tdetails = \"Request contains an invalid argument.\"\n\tdebug_error_string = \"{\"created\":\"@1618813436.632000000\",\"description\":\"Error received from peer ipv6:[2607:f8b0:4002:c09::5f]:443\",\"file\":\"src/core/lib/surface/call.cc\",\"file_line\":1062,\"grpc_message\":\"Request contains an invalid argument.\",\"grpc_status\":3}\"\n>", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mInvalidArgument\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 14\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 15\u001b[0m \u001b[1;31m# Recognizes text entities in the PDF document\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 16\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprocess_document\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 17\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 18\u001b[0m \u001b[0mdocument\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdocument\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\cloud\\documentai_v1\\services\\document_processor_service\\client.py\u001b[0m in \u001b[0;36mprocess_document\u001b[1;34m(self, request, name, retry, timeout, metadata)\u001b[0m\n\u001b[0;32m 438\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 439\u001b[0m \u001b[1;31m# Send the request.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 440\u001b[1;33m \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrpc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mretry\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mretry\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 441\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 442\u001b[0m \u001b[1;31m# Done; return the response.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\gapic_v1\\method.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 143\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"metadata\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 144\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 145\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mwrapped_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 146\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 147\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_wrapped_func\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 279\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_initial\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maximum\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmultiplier\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_multiplier\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 280\u001b[0m )\n\u001b[1;32m--> 281\u001b[1;33m return retry_target(\n\u001b[0m\u001b[0;32m 282\u001b[0m \u001b[0mtarget\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 283\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_predicate\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_target\u001b[1;34m(target, predicate, sleep_generator, deadline, on_error)\u001b[0m\n\u001b[0;32m 182\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0msleep\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msleep_generator\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 183\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 184\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mtarget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 185\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 186\u001b[0m \u001b[1;31m# pylint: disable=broad-except\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 57\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 59\u001b[1;33m \u001b[0msix\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraise_from\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfrom_grpc_error\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 60\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 61\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0merror_remapped_callable\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\six.py\u001b[0m in \u001b[0;36mraise_from\u001b[1;34m(value, from_value)\u001b[0m\n", + "\u001b[1;31mInvalidArgument\u001b[0m: 400 Request contains an invalid argument." + ] + } + ], + "source": [ + "# The full resource name of the processor, e.g.:\n", + "# projects/project-id/locations/location/processor/processor-id\n", + "# You must create new processors in the Cloud Console first\n", + "name = \"projects/292730185360/locations/us/processors/f63982a32a72f28d\"\n", + "\n", + "with open(file_path, \"rb\") as image:\n", + " image_content = image.read()\n", + "\n", + "# Read the file into memory\n", + "document = {\"content\": image_content, \"mime_type\": \"application/pdf\"}\n", + "\n", + "# Configure the process request\n", + "request = {\"name\": name, \"raw_document\": document}\n", + "\n", + "# Recognizes text entities in the PDF document\n", + "result = client.process_document(request=request)\n", + "\n", + "document = result.document\n", + "\n", + "print(\"Document processing complete.\")\n", + "\n", + "# For a full list of Document object attributes, please reference this page: https://googleapis.dev/python/documentai/latest/_modules/google/cloud/documentai_v1beta3/types/document.html#Document\n", + "\n", + "document_pages = document.pages" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "advance-thong", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'st' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Read the text recognition output from the processor\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mst\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"The document contains the following paragraphs:\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mpage\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdocument_pages\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mparagraphs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpage\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparagraphs\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mparagraph\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mparagraphs\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mNameError\u001b[0m: name 'st' is not defined" + ] + } + ], + "source": [ + "# Read the text recognition output from the processor\n", + "st.write(\"The document contains the following paragraphs:\")\n", + "for page in document_pages:\n", + " paragraphs = page.paragraphs\n", + " for paragraph in paragraphs:\n", + " paragraph_text = get_text(paragraph.layout, document)\n", + " st.write(f\"Paragraph text: {paragraph_text}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "corrected-stephen", + "metadata": {}, + "outputs": [], + "source": [ + "from google.cloud import documentai_v1beta2 as documentai\n", + "\n", + "\n", + "def main(\n", + " project_id=\"292730185360\",\n", + " input_uri=\"gs://cloud-samples-data/documentai/invoice.pdf\",\n", + "):\n", + " \"\"\"Process a single document with the Document AI API, including\n", + " text extraction and entity extraction.\"\"\"\n", + "\n", + " client = documentai.DocumentUnderstandingServiceClient()\n", + "\n", + " gcs_source = documentai.types.GcsSource(uri=input_uri)\n", + "\n", + " # mime_type can be application/pdf, image/tiff,\n", + " # and image/gif, or application/json\n", + " input_config = documentai.types.InputConfig(\n", + " gcs_source=gcs_source, mime_type=\"application/pdf\"\n", + " )\n", + "\n", + " # Location can be 'us' or 'eu'\n", + " parent = \"projects/{}/locations/us\".format(project_id)\n", + " request = documentai.types.ProcessDocumentRequest(\n", + " parent=parent, input_config=input_config\n", + " )\n", + "\n", + " document = client.process_document(request=request)\n", + "\n", + " # All text extracted from the document\n", + " print(\"Document Text: {}\".format(document.text))\n", + "\n", + " def _get_text(el):\n", + " \"\"\"Convert text offset indexes into text snippets.\"\"\"\n", + " response = \"\"\n", + " # If a text segment spans several lines, it will\n", + " # be stored in different text segments.\n", + " for segment in el.text_anchor.text_segments:\n", + " start_index = segment.start_index\n", + " end_index = segment.end_index\n", + " response += document.text[start_index:end_index]\n", + " return response\n", + "\n", + " for entity in document.entities:\n", + " print(\"Entity type: {}\".format(entity.type_))\n", + " print(\"Text: {}\".format(_get_text(entity)))\n", + " print(\"Mention text: {}\\n\".format(entity.mention_text))" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "identified-guess", + "metadata": {}, + "outputs": [ + { + "ename": "PermissionDenied", + "evalue": "403 The client project (hatch-311000), does not match the project id in the request: 292730185360", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31m_InactiveRpcError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 56\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 57\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 58\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[0;32m 922\u001b[0m wait_for_ready, compression)\n\u001b[1;32m--> 923\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0m_end_unary_response_blocking\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 924\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m_end_unary_response_blocking\u001b[1;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[0;32m 825\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 826\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0m_InactiveRpcError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 827\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.PERMISSION_DENIED\n\tdetails = \"The client project (hatch-311000), does not match the project id in the request: 292730185360\"\n\tdebug_error_string = \"{\"created\":\"@1618813905.270000000\",\"description\":\"Error received from peer ipv6:[2607:f8b0:4002:c02::5f]:443\",\"file\":\"src/core/lib/surface/call.cc\",\"file_line\":1062,\"grpc_message\":\"The client project (hatch-311000), does not match the project id in the request: 292730185360\",\"grpc_status\":7}\"\n>", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mPermissionDenied\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmain\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32m\u001b[0m in \u001b[0;36mmain\u001b[1;34m(project_id, input_uri)\u001b[0m\n\u001b[0;32m 25\u001b[0m )\n\u001b[0;32m 26\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 27\u001b[1;33m \u001b[0mdocument\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprocess_document\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 28\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 29\u001b[0m \u001b[1;31m# All text extracted from the document\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\cloud\\documentai_v1beta2\\services\\document_understanding_service\\client.py\u001b[0m in \u001b[0;36mprocess_document\u001b[1;34m(self, request, retry, timeout, metadata)\u001b[0m\n\u001b[0;32m 477\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 478\u001b[0m \u001b[1;31m# Send the request.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 479\u001b[1;33m \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrpc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mretry\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mretry\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 480\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 481\u001b[0m \u001b[1;31m# Done; return the response.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\gapic_v1\\method.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 143\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"metadata\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 144\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 145\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mwrapped_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 146\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 147\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_wrapped_func\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 279\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_initial\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maximum\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmultiplier\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_multiplier\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 280\u001b[0m )\n\u001b[1;32m--> 281\u001b[1;33m return retry_target(\n\u001b[0m\u001b[0;32m 282\u001b[0m \u001b[0mtarget\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 283\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_predicate\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_target\u001b[1;34m(target, predicate, sleep_generator, deadline, on_error)\u001b[0m\n\u001b[0;32m 182\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0msleep\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msleep_generator\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 183\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 184\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mtarget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 185\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 186\u001b[0m \u001b[1;31m# pylint: disable=broad-except\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 57\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 59\u001b[1;33m \u001b[0msix\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraise_from\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfrom_grpc_error\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 60\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 61\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0merror_remapped_callable\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\six.py\u001b[0m in \u001b[0;36mraise_from\u001b[1;34m(value, from_value)\u001b[0m\n", + "\u001b[1;31mPermissionDenied\u001b[0m: 403 The client project (hatch-311000), does not match the project id in the request: 292730185360" + ] + } + ], + "source": [ + "main()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "collaborative-european", + "metadata": {}, + "outputs": [], + "source": [ + "project_id= '292730185360' \n", + "location = 'us' # Format is 'us' or 'eu'\n", + "processor_id = '995321df6c898af1' # Create processor in Cloud Console\n", + "file_path = \"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew.pdf\" # The local file in your current working directory\n", + "\n", + "from google.cloud import documentai_v1beta3 as documentai\n", + "from google.cloud import storage\n", + "\n", + "def process_document(\n", + " project_id=project_id, location=location, processor_id=processor_id, file_path=file_path\n", + "):\n", + "\n", + " # Instantiates a client\n", + " client = documentai.DocumentProcessorServiceClient()\n", + " #credentials = service_account.Credentials.from_service_account_file(\"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/key.json\")\n", + " #client = documentai.DocumentProcessorServiceClient(credentials=credentials)\n", + " # The full resource name of the processor, e.g.:\n", + " # projects/project-id/locations/location/processor/processor-id\n", + " # You must create new processors in the Cloud Console first\n", + " name = f\"projects/{project_id}/locations/{location}/processors/{processor_id}\"\n", + "\n", + " with open(file_path, \"rb\") as image:\n", + " image_content = image.read()\n", + " \n", + " # Read the file into memory\n", + " document = {\"content\": image_content, \"mime_type\": \"application/pdf\"}\n", + "\n", + " # Configure the process request\n", + " request = {\"name\": name, \"document\": document}\n", + "\n", + " # Use the Document AI client to process the sample form\n", + " result = client.process_document(request=request)\n", + "\n", + " document = result.document\n", + " document_text = document.text\n", + " print(\"Document processing complete.\")\n", + " print(\"Text: {}\".format(document_text)) \n" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "hawaiian-mortality", + "metadata": {}, + "outputs": [ + { + "ename": "PermissionDenied", + "evalue": "403 Permission 'documentai.processors.processOnline' denied on resource '//documentai.googleapis.com/projects/292730185360/locations/us/processors/995321df6c898af1' (or it may not exist).", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31m_InactiveRpcError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 56\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 57\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 58\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[0;32m 922\u001b[0m wait_for_ready, compression)\n\u001b[1;32m--> 923\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0m_end_unary_response_blocking\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 924\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m_end_unary_response_blocking\u001b[1;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[0;32m 825\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 826\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0m_InactiveRpcError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 827\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.PERMISSION_DENIED\n\tdetails = \"Permission 'documentai.processors.processOnline' denied on resource '//documentai.googleapis.com/projects/292730185360/locations/us/processors/995321df6c898af1' (or it may not exist).\"\n\tdebug_error_string = \"{\"created\":\"@1618813801.553000000\",\"description\":\"Error received from peer ipv6:[2607:f8b0:4002:c02::5f]:443\",\"file\":\"src/core/lib/surface/call.cc\",\"file_line\":1062,\"grpc_message\":\"Permission 'documentai.processors.processOnline' denied on resource '//documentai.googleapis.com/projects/292730185360/locations/us/processors/995321df6c898af1' (or it may not exist).\",\"grpc_status\":7}\"\n>", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mPermissionDenied\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprocess_document\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32m\u001b[0m in \u001b[0;36mprocess_document\u001b[1;34m(project_id, location, processor_id, file_path)\u001b[0m\n\u001b[0;32m 30\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 31\u001b[0m \u001b[1;31m# Use the Document AI client to process the sample form\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 32\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprocess_document\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 33\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 34\u001b[0m \u001b[0mdocument\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdocument\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\cloud\\documentai_v1beta3\\services\\document_processor_service\\client.py\u001b[0m in \u001b[0;36mprocess_document\u001b[1;34m(self, request, name, retry, timeout, metadata)\u001b[0m\n\u001b[0;32m 438\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 439\u001b[0m \u001b[1;31m# Send the request.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 440\u001b[1;33m \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrpc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mretry\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mretry\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 441\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 442\u001b[0m \u001b[1;31m# Done; return the response.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\gapic_v1\\method.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 143\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"metadata\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 144\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 145\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mwrapped_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 146\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 147\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_wrapped_func\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 279\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_initial\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maximum\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmultiplier\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_multiplier\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 280\u001b[0m )\n\u001b[1;32m--> 281\u001b[1;33m return retry_target(\n\u001b[0m\u001b[0;32m 282\u001b[0m \u001b[0mtarget\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 283\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_predicate\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_target\u001b[1;34m(target, predicate, sleep_generator, deadline, on_error)\u001b[0m\n\u001b[0;32m 182\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0msleep\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msleep_generator\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 183\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 184\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mtarget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 185\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 186\u001b[0m \u001b[1;31m# pylint: disable=broad-except\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 57\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 59\u001b[1;33m \u001b[0msix\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraise_from\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfrom_grpc_error\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 60\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 61\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0merror_remapped_callable\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\six.py\u001b[0m in \u001b[0;36mraise_from\u001b[1;34m(value, from_value)\u001b[0m\n", + "\u001b[1;31mPermissionDenied\u001b[0m: 403 Permission 'documentai.processors.processOnline' denied on resource '//documentai.googleapis.com/projects/292730185360/locations/us/processors/995321df6c898af1' (or it may not exist)." + ] + } + ], + "source": [ + "process_document()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "sufficient-refund", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "credential_path = \"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/key.json\"\n", + "os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "innovative-aerospace", + "metadata": {}, + "outputs": [], + "source": [ + "import boto3" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "infinite-insert", + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'KMS' object has no attribute 'analyze_document'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mclient\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mboto3\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclient\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'kms'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mregion_name\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'us-west-2'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0manalyze_document\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mDocument\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m{\u001b[0m\u001b[1;34m'Bytes'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mbytes_test\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mFeatureTypes\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'FORMS'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\botocore\\client.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, item)\u001b[0m\n\u001b[0;32m 612\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mevent_response\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 613\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 614\u001b[1;33m raise AttributeError(\n\u001b[0m\u001b[0;32m 615\u001b[0m \"'%s' object has no attribute '%s'\" % (\n\u001b[0;32m 616\u001b[0m self.__class__.__name__, item)\n", + "\u001b[1;31mAttributeError\u001b[0m: 'KMS' object has no attribute 'analyze_document'" + ] + } + ], + "source": [ + "client = boto3.client('kms', region_name='us-west-2')\n", + "response = client.analyze_document(Document={'Bytes': bytes_test}, FeatureTypes=['FORMS'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "acknowledged-wisconsin", + "metadata": {}, + "outputs": [], + "source": [ + "credentials = service_account.Credentials.from_service_account_file(keyDIRDocumentAI) #using service account to go through google\n", + "client = documentai.DocumentUnderstandingServiceClient(credentials=credentials)\n", + "gcs_source = documentai.types.GcsSource(uri=\"gs://document_ai_resume/Document_402.pdf\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "prostate-button", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# mime_type can be application/pdf, image/tiff,\n", + "# and image/gif, or application/json\n", + "input_config = documentai.types.InputConfig(gcs_source=gcs_source, mime_type='application/pdf')\n", + "def _get_text(el, document):\n", + " \"\"\"Doc AI identifies form fields by their offsets\n", + " in document text. This function converts offsets\n", + " to text snippets.\n", + " \"\"\"\n", + " response = ''\n", + " # If a text segment spans several lines, it will\n", + " # be stored in different text segments.\n", + " for segment in el.text_anchor.text_segments:\n", + " start_index = segment.start_index\n", + " end_index = segment.end_index\n", + " response += document.text[start_index:end_index]\n", + " return response\n", + "# Setting enabled=True enables form extraction\n", + "table_extraction_params = documentai.types.TableExtractionParams(enabled=True)\n", + "# Location can be 'us' or 'eu'\n", + "parent = 'projects/{}/locations/us'.format(\"resumematcher\")\n", + "request = documentai.types.ProcessDocumentRequest(\n", + " parent=parent,\n", + " input_config=input_config,\n", + " table_extraction_params=table_extraction_params)\n", + "document = client.process_document(request=request)\n", + "documentFormParser = document\n", + "\n", + "dfArray = []\n", + "tableGroups = []\n", + "for page in document.pages:\n", + " tablesPerPage = []\n", + " dfArray.append('Page number: {}'.format(page.page_number))\n", + " for table_num, table in enumerate(page.tables):\n", + " dfArray.append('Table {}: '.format(table_num))\n", + " singleTable = []\n", + " for row_num, row in enumerate(table.header_rows):\n", + " cells = ''.join([_get_text(cell.layout, documentFormParser) for cell in row.cells])\n", + " dfArray.append('Header Row {}: {}'.format(row_num, cells))\n", + " singleTable.append([\"Header\",row_num,cells])\n", + " for row_num, row in enumerate(table.body_rows):\n", + " cells = ''.join([_get_text(cell.layout, documentFormParser) for cell in row.cells])\n", + " dfArray.append('Row {}: {}'.format(row_num, cells))\n", + " singleTable.append([\"Row\", row_num, cells])\n", + " tablesPerPage.append([singleTable, table_num])\n", + " tableGroups.append([tablesPerPage, page.page_number])\n", + "\n", + "dfTables = pd.DataFrame(dfArray)\n", + "\n", + "form_extraction_params = documentai.types.FormExtractionParams(enabled=True) # key_value_pair_hints=key_value_pair_hints\n", + "\n", + "# Location can be 'us' or 'eu'\n", + "parent = 'projects/{}/locations/us'.format(\"resumematcher\")\n", + "request = documentai.types.ProcessDocumentRequest(\n", + " parent=parent,\n", + " input_config=input_config,\n", + " form_extraction_params=form_extraction_params)\n", + "\n", + "documentFormParser = client.process_document(request=request)\n", + "\n", + "def findEntitiesDocumentAIG(documentFormParser):\n", + " entitiesDetectedGoogleDocumentAI = []\n", + " #print(\"URI INFO: {}\".format(documentFormParser.uri))\n", + " #print(\"Text detected (first 100): {}\".format(documentFormParser.text[:100]))\n", + " for ent in documentFormParser.entities:\n", + " #print(\"Entity {}: {} \\n\\tConifd: {}\".format(ent.mention_id, ent.mention_text, ent.confidence))\n", + " ctDetected = 1\n", + " tempPositions = []\n", + " for position in ent.text_anchor.text_segments:\n", + " #print(\"\\tDetected {}: {} -- {}\".format(ctDetected, position.start_index, position.end_index))\n", + " tempPositions.append([ctDetected, position.start_index, position.end_index])\n", + " ctDetected+=1\n", + " entitiesDetectedGoogleDocumentAI.append([ent.mention_text, ent.confidence, tempPositions])\n", + " #print(\"\\n\")\n", + " return entitiesDetectedGoogleDocumentAI\n", + "entitiesDetectedGoogleDocumentAI = findEntitiesDocumentAIG(documentFormParser)\n", + "dfEntitiesDocumentAI = pd.DataFrame(entitiesDetectedGoogleDocumentAI, columns=[\"Entity\", \"Percent Accurate\", \"[Number of Times detected, Start Index, End Index]\"])\n", + "\n", + "formParserTotal = []\n", + "for page in documentFormParser.pages:\n", + " #print('Page number: {}'.format(page.page_number))\n", + " for form_field in page.form_fields:\n", + " #print('Field Name: {}\\tConfidence: {}'.format(\n", + " #_get_text(form_field.field_name, documentFormParser),\n", + " #form_field.field_name.confidence))\n", + " #print('Field Value: {}\\tConfidence: {}'.format(\n", + " #_get_text(form_field.field_value, documentFormParser),\n", + " #form_field.field_value.confidence))\n", + " formParserTotal.append([_get_text(form_field.field_name, documentFormParser),\n", + " _get_text(form_field.field_value, documentFormParser), form_field.field_name.confidence,\n", + " page.page_number])\n", + "dfentityKEYValeuDoocumentAI = pd.DataFrame(formParserTotal, columns=[\"Key\",\"Value\", \"Percent Accurate\", \"Page #\"])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "possible-bishop", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "afraid-border", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "respiratory-movement", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew.pdf'" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "file_path" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "attended-polish", + "metadata": {}, + "outputs": [], + "source": [ + "from pdf2image import convert_from_path" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "minimal-abortion", + "metadata": {}, + "outputs": [], + "source": [ + "pdfIMGPopplerPath = '/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/Poppler/poppler-0.68.0_x86/poppler-0.68.0/bin/'" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "heard-morning", + "metadata": {}, + "outputs": [], + "source": [ + "def convert_pdf_2_image(filePath):\n", + " #os.chdir(os.path.dirname(filePath))\n", + " uploaded_file = filePath\n", + " output_file = str(uploaded_file).replace('.pdf','')\n", + " pages = convert_from_path(uploaded_file, 200,poppler_path=pdfIMGPopplerPath)\n", + " pageCount = 1\n", + " #if len(pages) != 1:\n", + " #raise Exception (\"Some of the code is not compatable for multiple pages\")\n", + " for page in pages:\n", + " page.save(output_file + \"_\" + str(pageCount) + \".jpg\", 'JPEG')\n", + " print(\"Saved Image\" + output_file + \"_\" + str(pageCount) + \".jpg\")\n", + " pageCount+=1\n", + " return output_file + \"_1.jpg\"" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "rotary-sport", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saved Image/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew_1.jpg\n", + "Saved Image/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew_2.jpg\n", + "Saved Image/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew_3.jpg\n", + "Saved Image/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew_4.jpg\n" + ] + }, + { + "data": { + "text/plain": [ + "'/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew_1.jpg'" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "convert_pdf_2_image(file_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "broad-myanmar", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Block confidence: 0.9800000190734863\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: * (confidence: 0.9900000095367432)\n", + "\tSymbol: * (confidence: 0.9900000095367432)\n", + "Word text: 1. (confidence: 0.9900000095367432)\n", + "\tSymbol: 1 (confidence: 0.9900000095367432)\n", + "\tSymbol: . (confidence: 0.9900000095367432)\n", + "Word text: Have (confidence: 0.9900000095367432)\n", + "\tSymbol: H (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: v (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "Word text: you (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: u (confidence: 1.0)\n", + "Word text: mapped (confidence: 0.9900000095367432)\n", + "\tSymbol: m (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: d (confidence: 0.9900000095367432)\n", + "Word text: your (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: u (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "Word text: family's (confidence: 0.9900000095367432)\n", + "\tSymbol: f (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: m (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: l (confidence: 1.0)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: ' (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: health (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "Word text: history (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 1.0)\n", + "Word text: back (confidence: 0.9900000095367432)\n", + "\tSymbol: b (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: k (confidence: 1.0)\n", + "Word text: one (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "Word text: or (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "Word text: two (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9800000190734863)\n", + "\tSymbol: w (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "Word text: generations (confidence: 0.9900000095367432)\n", + "\tSymbol: g (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: ? (confidence: 0.9599999785423279)\n", + "\tSymbol: ? (confidence: 0.9599999785423279)\n", + "Paragraph confidence: 0.9800000190734863\n", + "Word text: Yes (confidence: 0.9900000095367432)\n", + "\tSymbol: Y (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9800000190734863)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: , (confidence: 0.8999999761581421)\n", + "\tSymbol: , (confidence: 0.8999999761581421)\n", + "Word text: I've (confidence: 0.9900000095367432)\n", + "\tSymbol: I (confidence: 0.9800000190734863)\n", + "\tSymbol: ' (confidence: 0.9900000095367432)\n", + "\tSymbol: v (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: researched (confidence: 0.9900000095367432)\n", + "\tSymbol: r (confidence: 0.9599999785423279)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "\tSymbol: c (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: d (confidence: 0.9900000095367432)\n", + "Word text: my (confidence: 0.9900000095367432)\n", + "\tSymbol: m (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "Word text: family's (confidence: 0.9900000095367432)\n", + "\tSymbol: f (confidence: 0.9599999785423279)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: m (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: l (confidence: 1.0)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: ' (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: health (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 1.0)\n", + "Word text: and (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: d (confidence: 1.0)\n", + "Word text: have (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: v (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: the (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: information (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 0.9900000095367432)\n", + "\tSymbol: f (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: m (confidence: 1.0)\n", + "\tSymbol: a (confidence: 0.9700000286102295)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "Word text: available (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: v (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: l (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: b (confidence: 1.0)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: . (confidence: 0.9800000190734863)\n", + "\tSymbol: . (confidence: 0.9800000190734863)\n", + "Word text: I'm (confidence: 0.8799999952316284)\n", + "\tSymbol: I (confidence: 0.7400000095367432)\n", + "\tSymbol: ' (confidence: 0.9200000166893005)\n", + "\tSymbol: m (confidence: 1.0)\n", + "Word text: not (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "Word text: sure (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\tSymbol: u (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: how (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: w (confidence: 0.9900000095367432)\n", + "Word text: accurate (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: u (confidence: 0.9900000095367432)\n", + "\tSymbol: r (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: my (confidence: 0.9800000190734863)\n", + "\tSymbol: m (confidence: 0.9700000286102295)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "Word text: family's (confidence: 0.9900000095367432)\n", + "\tSymbol: f (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: m (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: l (confidence: 1.0)\n", + "\tSymbol: y (confidence: 1.0)\n", + "\tSymbol: ' (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: health (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "Word text: information (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 0.9800000190734863)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: f (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: m (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "Word text: is (confidence: 0.9599999785423279)\n", + "\tSymbol: i (confidence: 0.9200000166893005)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: but (confidence: 0.949999988079071)\n", + "\tSymbol: b (confidence: 0.8899999856948853)\n", + "\tSymbol: u (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "Word text: I'll (confidence: 0.9700000286102295)\n", + "\tSymbol: I (confidence: 0.9900000095367432)\n", + "\tSymbol: ' (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 0.9300000071525574)\n", + "\tSymbol: l (confidence: 0.9700000286102295)\n", + "Word text: do (confidence: 0.9599999785423279)\n", + "\tSymbol: d (confidence: 0.9300000071525574)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "Word text: the (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 1.0)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "Word text: best (confidence: 0.9900000095367432)\n", + "\tSymbol: b (confidence: 0.9800000190734863)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "Word text: I (confidence: 0.9700000286102295)\n", + "\tSymbol: I (confidence: 0.9700000286102295)\n", + "Word text: can (confidence: 1.0)\n", + "\tSymbol: c (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: n (confidence: 1.0)\n", + "Word text: . (confidence: 0.8700000047683716)\n", + "\tSymbol: . (confidence: 0.8700000047683716)\n", + "Paragraph confidence: 0.9599999785423279\n", + "Word text: No (confidence: 0.9900000095367432)\n", + "\tSymbol: N (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "Word text: , (confidence: 0.9599999785423279)\n", + "\tSymbol: , (confidence: 0.9599999785423279)\n", + "Word text: I (confidence: 0.9900000095367432)\n", + "\tSymbol: I (confidence: 0.9900000095367432)\n", + "Word text: haven't (confidence: 0.9800000190734863)\n", + "\tSymbol: h (confidence: 0.9700000286102295)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: v (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: n (confidence: 0.9900000095367432)\n", + "\tSymbol: ' (confidence: 0.949999988079071)\n", + "\tSymbol: t (confidence: 0.9800000190734863)\n", + "Word text: been (confidence: 0.9900000095367432)\n", + "\tSymbol: b (confidence: 0.9800000190734863)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: n (confidence: 1.0)\n", + "Word text: able (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: b (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: to (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: o (confidence: 1.0)\n", + "Word text: do (confidence: 0.9900000095367432)\n", + "\tSymbol: d (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "Word text: the (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9800000190734863)\n", + "\tSymbol: h (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: research (confidence: 0.9900000095367432)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "\tSymbol: c (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "Word text: , (confidence: 0.9900000095367432)\n", + "\tSymbol: , (confidence: 0.9900000095367432)\n", + "Word text: so (confidence: 0.49000000953674316)\n", + "\tSymbol: s (confidence: 0.4099999964237213)\n", + "\tSymbol: o (confidence: 0.5799999833106995)\n", + "Word text: I'll (confidence: 0.9200000166893005)\n", + "\tSymbol: I (confidence: 0.9399999976158142)\n", + "\tSymbol: ' (confidence: 0.9700000286102295)\n", + "\tSymbol: l (confidence: 0.9800000190734863)\n", + "\tSymbol: l (confidence: 0.7900000214576721)\n", + "Word text: be (confidence: 0.9599999785423279)\n", + "\tSymbol: b (confidence: 0.9200000166893005)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: using (confidence: 0.9700000286102295)\n", + "\tSymbol: u (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 0.8999999761581421)\n", + "\tSymbol: i (confidence: 0.9800000190734863)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: g (confidence: 1.0)\n", + "Word text: my (confidence: 0.949999988079071)\n", + "\tSymbol: m (confidence: 0.9200000166893005)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "Word text: best (confidence: 0.9900000095367432)\n", + "\tSymbol: b (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "Word text: recollections (confidence: 0.9800000190734863)\n", + "\tSymbol: r (confidence: 0.9300000071525574)\n", + "\tSymbol: e (confidence: 0.9800000190734863)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: i (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: . (confidence: 0.949999988079071)\n", + "\tSymbol: . (confidence: 0.949999988079071)\n", + "\n", + "Block confidence: 0.9800000190734863\n", + "\n", + "Paragraph confidence: 0.9800000190734863\n", + "Word text: Other (confidence: 0.9900000095367432)\n", + "\tSymbol: O (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "Word text: ( (confidence: 0.9900000095367432)\n", + "\tSymbol: ( (confidence: 0.9900000095367432)\n", + "Word text: please (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: specify (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: f (confidence: 1.0)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "Word text: ) (confidence: 0.8999999761581421)\n", + "\tSymbol: ) (confidence: 0.8999999761581421)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: 2. (confidence: 0.9800000190734863)\n", + "\tSymbol: 2 (confidence: 0.9900000095367432)\n", + "\tSymbol: . (confidence: 0.9800000190734863)\n", + "Word text: Are (confidence: 0.9900000095367432)\n", + "\tSymbol: A (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "Word text: you (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: u (confidence: 1.0)\n", + "Word text: located (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: d (confidence: 1.0)\n", + "Word text: in (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: n (confidence: 1.0)\n", + "Word text: the (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: United (confidence: 0.9900000095367432)\n", + "\tSymbol: U (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: d (confidence: 1.0)\n", + "Word text: States (confidence: 1.0)\n", + "\tSymbol: S (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: ? (confidence: 0.9399999976158142)\n", + "\tSymbol: ? (confidence: 0.9399999976158142)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: Yes (confidence: 0.9900000095367432)\n", + "\tSymbol: Y (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: No (confidence: 0.9900000095367432)\n", + "\tSymbol: N (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\n", + "Block confidence: 0.9800000190734863\n", + "\n", + "Paragraph confidence: 0.9800000190734863\n", + "Word text: Other (confidence: 0.9900000095367432)\n", + "\tSymbol: O (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "Word text: ( (confidence: 0.9900000095367432)\n", + "\tSymbol: ( (confidence: 0.9900000095367432)\n", + "Word text: please (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: specify (confidence: 0.9599999785423279)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: c (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: f (confidence: 0.8100000023841858)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "Word text: ) (confidence: 0.949999988079071)\n", + "\tSymbol: ) (confidence: 0.949999988079071)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: 3. (confidence: 0.9900000095367432)\n", + "\tSymbol: 3 (confidence: 0.9900000095367432)\n", + "\tSymbol: . (confidence: 0.9900000095367432)\n", + "Word text: Are (confidence: 0.9900000095367432)\n", + "\tSymbol: A (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "Word text: you (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: u (confidence: 1.0)\n", + "Word text: of (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\tSymbol: f (confidence: 0.9900000095367432)\n", + "Word text: Ashkenazi (confidence: 0.9900000095367432)\n", + "\tSymbol: A (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: k (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: z (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "Word text: Jewish (confidence: 0.9900000095367432)\n", + "\tSymbol: J (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: w (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "Word text: descent (confidence: 0.9900000095367432)\n", + "\tSymbol: d (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "Word text: ? (confidence: 0.949999988079071)\n", + "\tSymbol: ? (confidence: 0.949999988079071)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: Yes (confidence: 0.9900000095367432)\n", + "\tSymbol: Y (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: No (confidence: 0.9900000095367432)\n", + "\tSymbol: N (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: don't (confidence: 0.9800000190734863)\n", + "\tSymbol: d (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: n (confidence: 0.9900000095367432)\n", + "\tSymbol: ' (confidence: 0.9599999785423279)\n", + "\tSymbol: t (confidence: 1.0)\n", + "Word text: know (confidence: 0.9900000095367432)\n", + "\tSymbol: k (confidence: 0.9800000190734863)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: w (confidence: 0.9900000095367432)\n" + ] + } + ], + "source": [ + "detect_document()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "central-asian", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Block confidence: 0.9800000190734863\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: * (confidence: 0.9900000095367432)\n", + "\tSymbol: * (confidence: 0.9900000095367432)\n", + "Word text: 1. (confidence: 0.9900000095367432)\n", + "\tSymbol: 1 (confidence: 0.9900000095367432)\n", + "\tSymbol: . (confidence: 0.9900000095367432)\n", + "Word text: Have (confidence: 0.9900000095367432)\n", + "\tSymbol: H (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: v (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "Word text: you (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: u (confidence: 1.0)\n", + "Word text: mapped (confidence: 0.9900000095367432)\n", + "\tSymbol: m (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: d (confidence: 0.9900000095367432)\n", + "Word text: your (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: u (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "Word text: family's (confidence: 0.9900000095367432)\n", + "\tSymbol: f (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: m (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: l (confidence: 1.0)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: ' (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: health (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "Word text: history (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 1.0)\n", + "Word text: back (confidence: 0.9900000095367432)\n", + "\tSymbol: b (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: k (confidence: 1.0)\n", + "Word text: one (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "Word text: or (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "Word text: two (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9800000190734863)\n", + "\tSymbol: w (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "Word text: generations (confidence: 0.9900000095367432)\n", + "\tSymbol: g (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: ? (confidence: 0.9599999785423279)\n", + "\tSymbol: ? (confidence: 0.9599999785423279)\n", + "Paragraph confidence: 0.9800000190734863\n", + "Word text: Yes (confidence: 0.9900000095367432)\n", + "\tSymbol: Y (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9800000190734863)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: , (confidence: 0.8999999761581421)\n", + "\tSymbol: , (confidence: 0.8999999761581421)\n", + "Word text: I've (confidence: 0.9900000095367432)\n", + "\tSymbol: I (confidence: 0.9800000190734863)\n", + "\tSymbol: ' (confidence: 0.9900000095367432)\n", + "\tSymbol: v (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: researched (confidence: 0.9900000095367432)\n", + "\tSymbol: r (confidence: 0.9599999785423279)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "\tSymbol: c (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: d (confidence: 0.9900000095367432)\n", + "Word text: my (confidence: 0.9900000095367432)\n", + "\tSymbol: m (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "Word text: family's (confidence: 0.9900000095367432)\n", + "\tSymbol: f (confidence: 0.9599999785423279)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: m (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: l (confidence: 1.0)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: ' (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: health (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 1.0)\n", + "Word text: and (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: d (confidence: 1.0)\n", + "Word text: have (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: v (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: the (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: information (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 0.9900000095367432)\n", + "\tSymbol: f (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: m (confidence: 1.0)\n", + "\tSymbol: a (confidence: 0.9700000286102295)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "Word text: available (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: v (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: l (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: b (confidence: 1.0)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: . (confidence: 0.9800000190734863)\n", + "\tSymbol: . (confidence: 0.9800000190734863)\n", + "Word text: I'm (confidence: 0.8799999952316284)\n", + "\tSymbol: I (confidence: 0.7400000095367432)\n", + "\tSymbol: ' (confidence: 0.9200000166893005)\n", + "\tSymbol: m (confidence: 1.0)\n", + "Word text: not (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "Word text: sure (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\tSymbol: u (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: how (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: w (confidence: 0.9900000095367432)\n", + "Word text: accurate (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: u (confidence: 0.9900000095367432)\n", + "\tSymbol: r (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: my (confidence: 0.9800000190734863)\n", + "\tSymbol: m (confidence: 0.9700000286102295)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "Word text: family's (confidence: 0.9900000095367432)\n", + "\tSymbol: f (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: m (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: l (confidence: 1.0)\n", + "\tSymbol: y (confidence: 1.0)\n", + "\tSymbol: ' (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: health (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "Word text: information (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 0.9800000190734863)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: f (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: m (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "Word text: is (confidence: 0.9599999785423279)\n", + "\tSymbol: i (confidence: 0.9200000166893005)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: but (confidence: 0.949999988079071)\n", + "\tSymbol: b (confidence: 0.8899999856948853)\n", + "\tSymbol: u (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "Word text: I'll (confidence: 0.9700000286102295)\n", + "\tSymbol: I (confidence: 0.9900000095367432)\n", + "\tSymbol: ' (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 0.9300000071525574)\n", + "\tSymbol: l (confidence: 0.9700000286102295)\n", + "Word text: do (confidence: 0.9599999785423279)\n", + "\tSymbol: d (confidence: 0.9300000071525574)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "Word text: the (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 1.0)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "Word text: best (confidence: 0.9900000095367432)\n", + "\tSymbol: b (confidence: 0.9800000190734863)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "Word text: I (confidence: 0.9700000286102295)\n", + "\tSymbol: I (confidence: 0.9700000286102295)\n", + "Word text: can (confidence: 1.0)\n", + "\tSymbol: c (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: n (confidence: 1.0)\n", + "Word text: . (confidence: 0.8700000047683716)\n", + "\tSymbol: . (confidence: 0.8700000047683716)\n", + "Paragraph confidence: 0.9599999785423279\n", + "Word text: No (confidence: 0.9900000095367432)\n", + "\tSymbol: N (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "Word text: , (confidence: 0.9599999785423279)\n", + "\tSymbol: , (confidence: 0.9599999785423279)\n", + "Word text: I (confidence: 0.9900000095367432)\n", + "\tSymbol: I (confidence: 0.9900000095367432)\n", + "Word text: haven't (confidence: 0.9800000190734863)\n", + "\tSymbol: h (confidence: 0.9700000286102295)\n", + "\tSymbol: a (confidence: 0.9900000095367432)\n", + "\tSymbol: v (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: n (confidence: 0.9900000095367432)\n", + "\tSymbol: ' (confidence: 0.949999988079071)\n", + "\tSymbol: t (confidence: 0.9800000190734863)\n", + "Word text: been (confidence: 0.9900000095367432)\n", + "\tSymbol: b (confidence: 0.9800000190734863)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: n (confidence: 1.0)\n", + "Word text: able (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: b (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: to (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: o (confidence: 1.0)\n", + "Word text: do (confidence: 0.9900000095367432)\n", + "\tSymbol: d (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "Word text: the (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9800000190734863)\n", + "\tSymbol: h (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: research (confidence: 0.9900000095367432)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "\tSymbol: c (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "Word text: , (confidence: 0.9900000095367432)\n", + "\tSymbol: , (confidence: 0.9900000095367432)\n", + "Word text: so (confidence: 0.49000000953674316)\n", + "\tSymbol: s (confidence: 0.4099999964237213)\n", + "\tSymbol: o (confidence: 0.5799999833106995)\n", + "Word text: I'll (confidence: 0.9200000166893005)\n", + "\tSymbol: I (confidence: 0.9399999976158142)\n", + "\tSymbol: ' (confidence: 0.9700000286102295)\n", + "\tSymbol: l (confidence: 0.9800000190734863)\n", + "\tSymbol: l (confidence: 0.7900000214576721)\n", + "Word text: be (confidence: 0.9599999785423279)\n", + "\tSymbol: b (confidence: 0.9200000166893005)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: using (confidence: 0.9700000286102295)\n", + "\tSymbol: u (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 0.8999999761581421)\n", + "\tSymbol: i (confidence: 0.9800000190734863)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: g (confidence: 1.0)\n", + "Word text: my (confidence: 0.949999988079071)\n", + "\tSymbol: m (confidence: 0.9200000166893005)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "Word text: best (confidence: 0.9900000095367432)\n", + "\tSymbol: b (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "Word text: recollections (confidence: 0.9800000190734863)\n", + "\tSymbol: r (confidence: 0.9300000071525574)\n", + "\tSymbol: e (confidence: 0.9800000190734863)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: i (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: . (confidence: 0.949999988079071)\n", + "\tSymbol: . (confidence: 0.949999988079071)\n", + "\n", + "Block confidence: 0.9800000190734863\n", + "\n", + "Paragraph confidence: 0.9800000190734863\n", + "Word text: Other (confidence: 0.9900000095367432)\n", + "\tSymbol: O (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "Word text: ( (confidence: 0.9900000095367432)\n", + "\tSymbol: ( (confidence: 0.9900000095367432)\n", + "Word text: please (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: specify (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: f (confidence: 1.0)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "Word text: ) (confidence: 0.8999999761581421)\n", + "\tSymbol: ) (confidence: 0.8999999761581421)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: 2. (confidence: 0.9800000190734863)\n", + "\tSymbol: 2 (confidence: 0.9900000095367432)\n", + "\tSymbol: . (confidence: 0.9800000190734863)\n", + "Word text: Are (confidence: 0.9900000095367432)\n", + "\tSymbol: A (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "Word text: you (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: u (confidence: 1.0)\n", + "Word text: located (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: d (confidence: 1.0)\n", + "Word text: in (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: n (confidence: 1.0)\n", + "Word text: the (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: United (confidence: 0.9900000095367432)\n", + "\tSymbol: U (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: d (confidence: 1.0)\n", + "Word text: States (confidence: 1.0)\n", + "\tSymbol: S (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: t (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: s (confidence: 1.0)\n", + "Word text: ? (confidence: 0.9399999976158142)\n", + "\tSymbol: ? (confidence: 0.9399999976158142)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: Yes (confidence: 0.9900000095367432)\n", + "\tSymbol: Y (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: No (confidence: 0.9900000095367432)\n", + "\tSymbol: N (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\n", + "Block confidence: 0.9800000190734863\n", + "\n", + "Paragraph confidence: 0.9800000190734863\n", + "Word text: Other (confidence: 0.9900000095367432)\n", + "\tSymbol: O (confidence: 0.9900000095367432)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: r (confidence: 1.0)\n", + "Word text: ( (confidence: 0.9900000095367432)\n", + "\tSymbol: ( (confidence: 0.9900000095367432)\n", + "Word text: please (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: l (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: e (confidence: 1.0)\n", + "Word text: specify (confidence: 0.9599999785423279)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\tSymbol: p (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 1.0)\n", + "\tSymbol: c (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "\tSymbol: f (confidence: 0.8100000023841858)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "Word text: ) (confidence: 0.949999988079071)\n", + "\tSymbol: ) (confidence: 0.949999988079071)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: 3. (confidence: 0.9900000095367432)\n", + "\tSymbol: 3 (confidence: 0.9900000095367432)\n", + "\tSymbol: . (confidence: 0.9900000095367432)\n", + "Word text: Are (confidence: 0.9900000095367432)\n", + "\tSymbol: A (confidence: 1.0)\n", + "\tSymbol: r (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "Word text: you (confidence: 0.9900000095367432)\n", + "\tSymbol: y (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: u (confidence: 1.0)\n", + "Word text: of (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\tSymbol: f (confidence: 0.9900000095367432)\n", + "Word text: Ashkenazi (confidence: 0.9900000095367432)\n", + "\tSymbol: A (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 0.9900000095367432)\n", + "\tSymbol: h (confidence: 0.9900000095367432)\n", + "\tSymbol: k (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: a (confidence: 1.0)\n", + "\tSymbol: z (confidence: 1.0)\n", + "\tSymbol: i (confidence: 1.0)\n", + "Word text: Jewish (confidence: 0.9900000095367432)\n", + "\tSymbol: J (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: w (confidence: 0.9900000095367432)\n", + "\tSymbol: i (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: h (confidence: 1.0)\n", + "Word text: descent (confidence: 0.9900000095367432)\n", + "\tSymbol: d (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\tSymbol: c (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: t (confidence: 0.9900000095367432)\n", + "Word text: ? (confidence: 0.949999988079071)\n", + "\tSymbol: ? (confidence: 0.949999988079071)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: Yes (confidence: 0.9900000095367432)\n", + "\tSymbol: Y (confidence: 0.9900000095367432)\n", + "\tSymbol: e (confidence: 0.9900000095367432)\n", + "\tSymbol: s (confidence: 1.0)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: No (confidence: 0.9900000095367432)\n", + "\tSymbol: N (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 0.9900000095367432)\n", + "\n", + "Block confidence: 0.9900000095367432\n", + "\n", + "Paragraph confidence: 0.9900000095367432\n", + "Word text: don't (confidence: 0.9800000190734863)\n", + "\tSymbol: d (confidence: 0.9900000095367432)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: n (confidence: 0.9900000095367432)\n", + "\tSymbol: ' (confidence: 0.9599999785423279)\n", + "\tSymbol: t (confidence: 1.0)\n", + "Word text: know (confidence: 0.9900000095367432)\n", + "\tSymbol: k (confidence: 0.9800000190734863)\n", + "\tSymbol: n (confidence: 1.0)\n", + "\tSymbol: o (confidence: 1.0)\n", + "\tSymbol: w (confidence: 0.9900000095367432)\n" + ] + } + ], + "source": [ + "path = \"testIMG2.png\"\n", + "from google.cloud import vision\n", + "import io\n", + "keyDIR = \"/Users/kunal/Documents/VdartResumeProject/APIKEYSGOOGLE/resumeMatcher-pdf2img.json\"\n", + "credentials = service_account.Credentials.from_service_account_file(keyDIR) #using service account to go through google\n", + "client = vision.ImageAnnotatorClient(credentials=credentials) # client api\n", + "\n", + "with io.open(path, 'rb') as image_file:\n", + " content = image_file.read()\n", + "\n", + "image = vision.Image(content=content)\n", + "\n", + "response = client.document_text_detection(image=image)\n", + "\n", + "for page in response.full_text_annotation.pages:\n", + " for block in page.blocks:\n", + " print('\\nBlock confidence: {}\\n'.format(block.confidence))\n", + "\n", + " for paragraph in block.paragraphs:\n", + " print('Paragraph confidence: {}'.format(\n", + " paragraph.confidence))\n", + "\n", + " for word in paragraph.words:\n", + " word_text = ''.join([\n", + " symbol.text for symbol in word.symbols\n", + " ])\n", + " print('Word text: {} (confidence: {})'.format(\n", + " word_text, word.confidence))\n", + "\n", + " for symbol in word.symbols:\n", + " print('\\tSymbol: {} (confidence: {})'.format(\n", + " symbol.text, symbol.confidence))\n", + "\n", + "if response.error.message:\n", + " raise Exception(\n", + " '{}\\nFor more info on error messages, check: '\n", + " 'https://cloud.google.com/apis/design/errors'.format(\n", + " response.error.message))" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "raised-suspension", + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "object of type 'AnnotateImageResponse' has no len()", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m: object of type 'AnnotateImageResponse' has no len()" + ] + } + ], + "source": [ + "len(response)" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "id": "dental-candle", + "metadata": {}, + "outputs": [], + "source": [ + "import statistics" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "id": "solid-headset", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "id": "competitive-credits", + "metadata": {}, + "outputs": [], + "source": [ + "def findMode(lst):\n", + " try:\n", + " return statistics.mode(lst)\n", + " except:\n", + " return statistics.mode(lst)" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "id": "alike-pressing", + "metadata": {}, + "outputs": [], + "source": [ + "lstPossibleAnswers = [[1,\"Yes, I've researched my family's health and have the information available\"],\n", + " [1,\"I'm not sure how accurate my family's health information is but I'll do the best I can\"],\n", + " [1,\"Yes\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 190, + "id": "frank-grounds", + "metadata": {}, + "outputs": [], + "source": [ + "answer = []\n", + "for possibleAnswer in lstPossibleAnswers:\n", + " allWords = []\n", + " wordVert = []\n", + " for page in response.full_text_annotation.pages:\n", + " for block in page.blocks:\n", + " #print('\\nBlock confidence: {}\\n'.format(block.confidence))\n", + " for paragraph in block.paragraphs:\n", + " #print('Paragraph confidence: {}'.format(\n", + " #paragraph.confidence))\n", + " for word in paragraph.words:\n", + " word_text = ''.join([symbol.text for symbol in word.symbols])\n", + " #print('Word text: {} (confidence: {})'.format(\n", + " #word_text, word.confidence))\n", + " allWords.append(word_text)\n", + " if (\" \".join(allWords) in possibleAnswer[1]):\n", + " y = [word.bounding_box.vertices[p].y for p in range(4)]\n", + " x = [word.bounding_box.vertices[p].x for p in range(4)]\n", + " centroid = (sum(x) /4, sum(y) /4)\n", + " wordVert.append([word_text, centroid])\n", + " #df = pd.DataFrame(wordVert, columns = [\"Text\", \"Centroid\"])\n", + " answer.append([possibleAnswer[0], possibleAnswer[1], centroid])" + ] + }, + { + "cell_type": "code", + "execution_count": 182, + "id": "laden-slide", + "metadata": {}, + "outputs": [], + "source": [ + "a = lstPossibleAnswers[2][1]" + ] + }, + { + "cell_type": "code", + "execution_count": 183, + "id": "future-works", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(247.5, 68.5)\n", + "(434.5, 68.5)\n", + "(434.5, 68.5)\n" + ] + } + ], + "source": [ + "for i in answer:\n", + " print(i[2])" + ] + }, + { + "cell_type": "code", + "execution_count": 184, + "id": "deadly-oliver", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Yes\n" + ] + } + ], + "source": [ + "if len(a.split()) == 1:\n", + " print(a)" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "id": "polar-commons", + "metadata": {}, + "outputs": [], + "source": [ + "y = [word.bounding_box.vertices[p].y for p in range(4)]\n", + "x = [word.bounding_box.vertices[p].x for p in range(4)]\n", + "centroid = (sum(x) /4, sum(y) /4)" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "id": "simple-tenant", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(95.5, 437.0)" + ] + }, + "execution_count": 186, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "centroid" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "bacterial-matrix", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[432, 432, 442, 442]" + ] + }, + "execution_count": 187, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y" + ] + }, + { + "cell_type": "code", + "execution_count": 191, + "id": "behavioral-delaware", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[1,\n", + " \"Yes, I've researched my family's health and have the information available\",\n", + " (95.5, 437.0)]" + ] + }, + "execution_count": 191, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "answer[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "irish-addition", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/VisualizingData_old.ipynb b/VisualizingData_old.ipynb new file mode 100644 index 0000000..ba317f2 --- /dev/null +++ b/VisualizingData_old.ipynb @@ -0,0 +1,22174 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "familiar-exclusive", + "metadata": {}, + "source": [ + "# Data Control\n", + "The Datasheet has many different problems\n", + "- Not having data for a specific criteria\n", + "- Data is not formatted correctly" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "residential-track", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import time\n", + "import json\n", + "import ast\n", + "from pprint import pprint\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import statistics\n", + "import numpy as np\n", + "import random\n", + "from collections import Counter" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "amazing-tattoo", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + ".ipynb_checkpoints\n", + "Bullshit.ipynb\n", + "checkpoints\n", + "DomArigatoCategoryKey.pdf\n", + "DomoArigatoData.txt\n", + "DomoArigatoSurvey.pdf\n", + "DomoArigatoSurveyNew.pdf\n", + "Dom_Arigato_Challenge_Description.pdf\n", + "ethnicities.txt\n", + "Ignore.ipynb\n", + "key.json\n", + "lol.ipynb\n", + "output.xlsx\n", + "Poppler\n", + "streamlit.py\n", + "testIMG.png\n", + "testIMG2.png\n", + "Untitled.ipynb\n", + "Untitled1.ipynb\n", + "VisualizingData .ipynb\n" + ] + } + ], + "source": [ + "os.chdir(\"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH\")\n", + "for i in os.listdir(\".\"):\n", + " print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "peripheral-promise", + "metadata": {}, + "outputs": [], + "source": [ + "ethnicities = []\n", + "f = open(\"ethnicities.txt\", \"r\", encoding=\"utf8\")\n", + "for x in f:\n", + " ethnicities.append(x[:-1].lower().strip())" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "aggressive-conversion", + "metadata": {}, + "outputs": [], + "source": [ + "arryStrings = []\n", + "f = open(\"DomoArigatoData.txt\", \"r\")\n", + "for x in f:\n", + " arryStrings.append(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "invisible-employment", + "metadata": {}, + "outputs": [], + "source": [ + "for i in arryStrings[1:]:\n", + " if not (i[0:5] == \"FALSE\" or i[0:4] == \"TRUE\"):\n", + " print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "declared-living", + "metadata": {}, + "outputs": [], + "source": [ + "def gene(line, value):\n", + " ct = 0\n", + " while ct < 10:\n", + " if line[ct] == \"\\t\" and line[ct+1] == \"\\t\":\n", + " val= False\n", + " return(\"No Gene\")\n", + " break\n", + " ct+=1\n", + " ct2=0\n", + " string = \"\"\n", + " while ct2 < 15:\n", + " if line[ct2] == \"\\t\":\n", + " for i in line[ct2+1:]:\n", + " string+=i\n", + " if i ==\"\\t\":\n", + " return(string.replace(\"\\t\",\"\"))\n", + " break\n", + " ct2+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "refined-aberdeen", + "metadata": {}, + "outputs": [], + "source": [ + "def calc(line):\n", + " ct = 0\n", + " string1 = \"\"\n", + " while ct < 30:\n", + " if line[ct] == \"\\t\" and line[ct+1] == \"\\t\":\n", + " #print(\"No Gene\")\n", + " #print(line[ct+2:])\n", + " for i in line[ct+2:]:\n", + " string1+=i\n", + " if i ==\"\\t\":\n", + " #print(string.replace(\"\\t\",\"\"))\n", + " return \"No Gene\", string1.replace(\"\\t\",\"\").strip()\n", + " break\n", + " break\n", + " ct+=1\n", + " ct2=0\n", + " string = \"\"\n", + " stringNew = \"\"\n", + " while ct2 < 15:\n", + " if line[ct2] == \"\\t\":\n", + " ctNew = 0\n", + " for i in line[ct2+1:]:\n", + " string+=i\n", + " if i ==\"\\t\":\n", + " #print(string.replace(\"\\t\",\"\"))\n", + " break\n", + " ctNew+=1\n", + " #print(line[ct2+ctNew+2:])\n", + " for j in line[ct2+ctNew+2:]:\n", + " #print(j)\n", + " stringNew += j\n", + " if j ==\"\\t\":\n", + " #print(stringNew.replace(\"\\t\",\"\"))\n", + " return string.replace(\"\\t\",\"\").strip(), stringNew.replace(\"\\t\",\"\").strip()\n", + " break\n", + " ct2+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "loose-childhood", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wall time: 142 ms\n" + ] + } + ], + "source": [ + "%%time\n", + "convertArray = []\n", + "for line in arryStrings[1:]:\n", + " tempArray = []\n", + " if line[0:5].strip().upper() == \"FALSE\":\n", + " tempArray.append([\"Pathogenic\", \"False\"]) \n", + " elif line[0:4].strip().upper() == \"TRUE\":\n", + " tempArray.append([\"Pathogenic\", \"True\"]) \n", + " else:\n", + " raise Exception(\"Invalid first Value\\\"{}\\\"\".format(str(line)))\n", + " geneVal, history_classVal = calc(line)\n", + " tempArray.append([\"Gene\",geneVal])\n", + " tempArray.append([\"History_class\", history_classVal])\n", + " if not line.find(\"\\\"\") == -1:\n", + " runOther = line[line.find(\"\\\"\")+1:len(line)-1]\n", + " for i in runOther.split(\";\"):\n", + " i = i[:-5] if i.endswith(\"\\t\\t\\t\\t\") else i\n", + " details = i.strip().split(\":\")\n", + " try:\n", + " details[1] = details[1][:-1] if details[1].endswith(\"\\\"\") else details[1]\n", + " details[1] = json.loads(details[1].replace(\"\\\"\\\"\",\"\\\"\"))\n", + " except:\n", + " pass\n", + " tempArray.append(details)\n", + " convertArray.append(tempArray)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "fancy-gilbert", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Western Europe']\n", + "['breast x 2 types']\n", + "['basal cell skin\"\", \"\"prostate, basal cell skin cancer\"\", \"\"melanoma of vagina (rare)\"\", \"\"ovarian\"\", \"\"ovarian\"\", \"\"breast\"\", \"\"basal cell skin cancer\"\", \"\"stomach cancer\"\", \"\"breast cancer\"\", \"\"prostate\"\"]']\n", + "['Cervical \"\"]']\n", + "['European']\n", + "['breast, bone, lymph nodes, liver, lung, pancreas, GI tract, bladder, ovarian\"\", \"\"Mesothelioma\"\", \"\"\"\"]']\n", + "['MSH6,CHEK2\"\\tnot_strong \\t\"consent_approval', 'yes']\n", + "['Not Hispanic or Latino']\n", + "['also skin cancer--not melanoma\"\", \"\"Ductal in situ, Triple Negative (recurrence at age 64)\"\", \"\"Definitely colon, likely ovarian, also\"\", \"\"d. 1968, abdominal cancer of unknown origin\"\", \"\"Skin cancer, not melanoma\"\", \"\"Basal cell cancer\"\"]']\n", + "['MUTYH,PMS2\"\\tnot_strong\\t\"consent_approval', 'yes']\n", + "['CHEK2,MUTYH\"\\tnone\\t\"consent_approval', 'yes']\n", + "['Caucasian']\n", + "12 different entities due to bad data format\n" + ] + } + ], + "source": [ + "ctRemoved = 0\n", + "ctPointRemovePointer = 0\n", + "pointsRemoved = []\n", + "possible = ['Pathogenic','Gene','History_class','consent_approval','ethnicity','cancer_dx','cancer_dx_type','relationships',\n", + " 'cancer_dx_age','known_brca','known_cancer','rel_relation','rel_cancer','rel_age', '_method', 'other_cancer']\n", + "for singleEntity in convertArray:\n", + " for criteria in singleEntity:\n", + " if not criteria[0] in possible:\n", + " pointsRemoved.append([\"Title Wrong\", ctPointRemovePointer])\n", + " print(criteria)\n", + " #print(singleEntity, end=\"\\n\\n\")\n", + " #convertArray.remove(singleEntity)\n", + " ctRemoved +=1\n", + " ctPointRemovePointer+=1\n", + "print(\"{} different entities due to bad data format\".format(ctRemoved))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "burning-range", + "metadata": {}, + "outputs": [], + "source": [ + "for i in pointsRemoved:\n", + " del convertArray[i[1]]\n", + "pointsRemoved = []" + ] + }, + { + "cell_type": "markdown", + "id": "viral-repeat", + "metadata": {}, + "source": [ + "# Visulization of Pathogenic" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "forbidden-essence", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5.63 94.37\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "total = len(convertArray)\n", + "cttrue = 0\n", + "ctfalse = 0\n", + "for i in convertArray:\n", + " cttrue += 1 if i[0][1] == 'True' else 0\n", + " ctfalse += 1 if i[0][1] == 'False' else 0\n", + "print(round(cttrue/total * 100,2),round(ctfalse/total * 100,2))\n", + "plt.title(\"Pathogenic\")\n", + "plt.pie([cttrue, ctfalse], labels = [\"True \" + str(round(cttrue/total * 100,3)), \n", + " \"False \" + str(round(ctfalse/total * 100,3))])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "boring-encyclopedia", + "metadata": {}, + "source": [ + "# Gene" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "parallel-kansas", + "metadata": {}, + "outputs": [], + "source": [ + "possibleGene = [\"NCCN\", \"HBOC\", \"MEN2\", \"PTEN\", \"MEN1\", \"ACMG\", \"FAMMM\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "stupid-occurrence", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "26 different Genes with total 7 gene locations\n" + ] + } + ], + "source": [ + "ctGene = 0\n", + "for i in possibleGene: \n", + " if i != 'No Gene': ctGene+=1\n", + "lstOfGene = []\n", + "for i in convertArray:\n", + " #if i[1][1] != \"No Gene\": print(i[1][1]) \n", + " lstOfGene.append(i[1][1])\n", + "#print(\"-\"*20)\n", + "print(\"{} different Genes with total {} gene locations\".format(len(set(lstOfGene)), ctGene))" + ] + }, + { + "cell_type": "markdown", + "id": "dietary-fiction", + "metadata": {}, + "source": [ + "# Delete bad data" + ] + }, + { + "cell_type": "raw", + "id": "generous-blake", + "metadata": {}, + "source": [ + "possible = ['Pathogenic','Gene','History_class','consent_approval','ethnicity','cancer_dx','cancer_dx_type','relationships',\n", + " 'cancer_dx_age','known_brca','known_cancer','rel_relation','rel_cancer','rel_age', '_method', 'other_cancer']\n", + "for i in convertArray:\n", + " for j in i:\n", + " if not (j[0] in possible):\n", + " print(j)" + ] + }, + { + "cell_type": "markdown", + "id": "clear-swedish", + "metadata": {}, + "source": [ + "### ```consent_approval```\n", + "\n", + "There are only 2 possible options for this criteria, `yes` and `no` so adjusting all of them to that" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "organized-madness", + "metadata": {}, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"consent_approval\":\n", + " j[1] = j[1].lower().strip()\n", + " #Printing all possible wrong points\n", + " if j[1] != \"yes\" and j[1] != \"no\":\n", + " print(j[1])" + ] + }, + { + "cell_type": "markdown", + "id": "equivalent-youth", + "metadata": {}, + "source": [ + "### ```ethnicity```" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "departmental-recording", + "metadata": {}, + "outputs": [], + "source": [ + "from spellchecker import SpellChecker\n", + "spell = SpellChecker()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "progressive-folder", + "metadata": {}, + "outputs": [], + "source": [ + "def ethnicityChange(listofVals):\n", + " listofVals = listofVals.lower().replace(\"/\",\",\").replace(\"caucasion\",\"caucasian\").replace(\"american\",\"america\").replace(\"-\",\",\").replace(\"and\",\",\").replace(\"&\",\",\").replace(\"english\", \"\").replace(\"white\", \"caucasian\").strip().split(\",\")\n", + " #print(listofVals)\n", + " updated = listofVals\n", + " ct = 0\n", + " for i in listofVals:\n", + " if \"not\" in i or \"non\" in i:\n", + " try:\n", + " updated.remove(listofVals[ct+1])\n", + " except:\n", + " pass\n", + " ct+=1\n", + "\n", + " lst = [value for value in updated if value != \"\"]\n", + " #print(lst)\n", + " ct = 0\n", + " for j in lst:\n", + " if j != spell.correction(j):\n", + " lst[ct] = spell.correction(j)\n", + " #print(j, spell.correction(j))\n", + " ct+=1\n", + " #print(lst)\n", + " final = []\n", + " for i in lst:\n", + " if i in ethnicities:\n", + " final.append(i)\n", + " else:\n", + " splitFinalVal = i.split(\" \")\n", + " for j in splitFinalVal:\n", + " #print(j)\n", + " if j in ethnicities:\n", + " final.append(j)\n", + " #else:\n", + " #print(\"Removed: \", i)\n", + " return final" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "familiar-thing", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"ethnicity\":\n", + " answers = ethnicityChange(j[1])\n", + " j[1] = answers" + ] + }, + { + "cell_type": "raw", + "id": "protecting-fiber", + "metadata": {}, + "source": [ + "lst = []\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"ethnicity\":\n", + " for i in j[1]:\n", + " lst.append(i)\n", + "A = Counter(lst)\n", + "lst = list(set(lst))" + ] + }, + { + "cell_type": "raw", + "id": "honest-apollo", + "metadata": {}, + "source": [ + "r=0\n", + "for key, value in A.items():\n", + " if value < 50:\n", + " print(key + \"\\t\" + str(value))\n", + " else:\n", + " r+=1" + ] + }, + { + "cell_type": "raw", + "id": "enabling-standing", + "metadata": {}, + "source": [ + "def removeNon(string):\n", + " lst = string.split()\n", + " updated = lst\n", + " ct = 0\n", + " for i in lst:\n", + " if \"not\" in i or \"non\" in i:\n", + " updated.remove(lst[ct+1])\n", + " ct+=1\n", + " return lst" + ] + }, + { + "cell_type": "markdown", + "id": "administrative-killing", + "metadata": {}, + "source": [ + "### ```cancer_dx```\n", + "\n", + "only yes or no answer" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "suspected-zimbabwe", + "metadata": {}, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"cancer_dx\":\n", + " j[1] = j[1].lower().strip()" + ] + }, + { + "cell_type": "markdown", + "id": "chief-librarian", + "metadata": {}, + "source": [ + "### ```cancer_dx_type```\n", + "\n", + "\n", + "Going to drop look into later" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "residential-expert", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['cancer_dx_type', 'pre-cancer vulvar due to hpv']\n", + "['cancer_dx_type', 'pre-cancer vulvar due to hpv']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'prostate']\n", + "['cancer_dx_type', 'uterine']\n", + "['cancer_dx_type', 'triple negative breast cancer']\n", + "['cancer_dx_type', 'kidney']\n", + "['cancer_dx_type', 'uterine']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breat']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'colon']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'kidney']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'dcis']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'n/a']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'hodgkins lymphoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'scc`']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'prostate']\n", + "['cancer_dx_type', 'pre-cancer uterine']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'thyroid']\n", + "['cancer_dx_type', 'thyroid']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', 'endometrial, breast, squamus 2 times']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'basal cell carcinoma']\n", + "['cancer_dx_type', 'basal cell']\n", + "['cancer_dx_type', 'pre cervical dysplasia']\n", + "['cancer_dx_type', 'na']\n", + "['cancer_dx_type', 'hodgkins lymphoma']\n", + "['cancer_dx_type', 'cervical']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'basel cell']\n", + "['cancer_dx_type', 'cervical']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'basal cell carcinoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'ductal carcinoma']\n", + "['cancer_dx_type', 'only small spot basel cell carcinoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'thyroid']\n", + "['cancer_dx_type', 'squamous cell carcenoma of the cervix']\n", + "['cancer_dx_type', 'squamous cell']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', 'cervical']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'basal cell']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'thymoma']\n", + "['cancer_dx_type', 'adeno carcinoma also melanoma']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', 'breast invasive ducal carcinoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'dcis']\n", + "['cancer_dx_type', 'basel cell']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'invasive ductal carcinoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'basal cell carcinoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'prostate']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'precancer in breast duct, precancer in colon polop']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'prostate']\n", + "['cancer_dx_type', 'dcis']\n", + "['cancer_dx_type', 'basal cell']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'prostate']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'squamous cell carcinoma']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', 'prostate']\n", + "['cancer_dx_type', 'kidney']\n", + "['cancer_dx_type', 'invasive lobular carcinoma']\n", + "['cancer_dx_type', 'breast and skin']\n", + "['cancer_dx_type', 'basil cell squamus cell']\n", + "['cancer_dx_type', 'vulvar']\n", + "['cancer_dx_type', 'testicular, melanoma']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', 'melanima']\n", + "['cancer_dx_type', 'dysplasia']\n", + "['cancer_dx_type', 'colon']\n", + "['cancer_dx_type', 'cervical cancer']\n", + "['cancer_dx_type', 'cervical - only precancerous cells']\n", + "['cancer_dx_type', 'cervical']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'i had 90% chance of cancer on my leg']\n", + "['cancer_dx_type', 'hodgkins lymphoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'thyroid']\n", + "['cancer_dx_type', 'basal cell']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'multiple melanoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'skin/squamous']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', 'rectal']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', 'dcis']\n", + "['cancer_dx_type', 'cervical cancer stage 1 and 4 years cervical cancer stage 4']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'breast']\n", + "['cancer_dx_type', 'adenoid cystic carcinoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'testicular']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', 'thyroid']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'melanoma, basil cell c.']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', 'papillary thyroid carcinoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'basal cell']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'na']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'thyroid']\n", + "['cancer_dx_type', 'basal cell']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'carcinosarcoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', 'prostate']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'skin']\n", + "['cancer_dx_type', 'melanoma']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', 'cervical carcinoma in situ']\n", + "['cancer_dx_type', '-']\n", + "['cancer_dx_type', '-']\n" + ] + } + ], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"cancer_dx_type\":\n", + " j[1] = j[1].lower().strip()\n", + " if j[1] == \"\":\n", + " j[1] = \"-\"\n", + " print(j)" + ] + }, + { + "cell_type": "raw", + "id": "southern-stockholm", + "metadata": {}, + "source": [ + "lst = []\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"cancer_dx_type\":\n", + " lst.append(j[1])\n", + "A = Counter(lst)\n", + "lst = list(set(lst))" + ] + }, + { + "cell_type": "raw", + "id": "effective-exposure", + "metadata": {}, + "source": [ + "r=0\n", + "for key, value in A.items():\n", + " if value < 30:\n", + " print(key + \"\\t\" + str(value))\n", + " else:\n", + " r+=1" + ] + }, + { + "cell_type": "markdown", + "id": "twelve-algebra", + "metadata": {}, + "source": [ + "### ```relationships```" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "alleged-netscape", + "metadata": {}, + "outputs": [], + "source": [ + "ctPointDelete = 0\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"relationships\":\n", + " #j[1] = j[1].lower().strip()\n", + " pointsRemoved.append([\"Relationships\",ctPointDelete])\n", + " #print(j[1])\n", + " ctPointDelete+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "liberal-notification", + "metadata": {}, + "outputs": [], + "source": [ + "for i in pointsRemoved:\n", + " del convertArray[i[1]]\n", + "pointsRemoved = []" + ] + }, + { + "cell_type": "markdown", + "id": "experimental-slide", + "metadata": {}, + "source": [ + "### ```cancer_dx_age```\n", + "average if multiple" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "possible-retailer", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Deleted 7\n" + ] + } + ], + "source": [ + "ctRemovedAge = 0\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"cancer_dx_age\":\n", + " #j[1] = j[1].replace()\n", + " if type(j[1]) != int and j[1] != '':\n", + " r = j[1].strip().replace(\"and\",\",\").split(\",\")\n", + " r = [s.strip() for s in r]\n", + " dele = False\n", + " for vla in r:\n", + " try:\n", + " vla = int(vla)\n", + " except:\n", + " dele = True\n", + " convertArray.remove(i)\n", + " ctRemovedAge+=1\n", + " if not dele: j[1] = int(statistics.mean(map(int, r)) )\n", + "print(\"Deleted {}\".format(ctRemovedAge))" + ] + }, + { + "cell_type": "markdown", + "id": "special-measure", + "metadata": {}, + "source": [ + "### ```known_brca```" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "vocational-dream", + "metadata": {}, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"known_brca\":\n", + " j[1] = j[1].replace(\"U\",\"unknown\").lower().strip()\n", + " #print(j)" + ] + }, + { + "cell_type": "markdown", + "id": "similar-opera", + "metadata": {}, + "source": [ + "### ```rel_relation```" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "enormous-somalia", + "metadata": {}, + "outputs": [], + "source": [ + "import string" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "periodic-cutting", + "metadata": {}, + "outputs": [], + "source": [ + "CounterList = []\n", + "exclude = set(string.punctuation)\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_relation\":\n", + " #print(j)\n", + " newList = [] \n", + " for valr in j[1]:\n", + " value = valr.lower().replace(\"paternal\",\"\").replace(\"mom\",\"mother\").replace(\"grandpa\",\"grandfather\")\n", + " value = value.replace(\"grandma\",\"grandmother\").replace(\"first\",\"\").replace(\"dad\",\"father\").replace(\"1st\",\"\")\n", + " value = value.replace(\"maternal\",\"\").replace(\"greatgrandmother\", \"great grandmother\")\n", + " value = ''.join(ch for ch in value if ch not in exclude)\n", + " newList.append(value.strip())\n", + " if len(newList) > 1 and \"\" in newList:\n", + " newList.remove(\"\")\n", + " j[1] = list(set(newList))\n", + " CounterList.extend(list(set(newList)))\n", + " #print(j)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "literary-strengthening", + "metadata": {}, + "outputs": [], + "source": [ + "A = Counter(CounterList)\n", + "r=0\n", + "lol = 0\n", + "removeLst = []\n", + "for key, value in A.items():\n", + " if value > 10:\n", + " #print(key)#\n", + " lol+=value\n", + " else:\n", + " r+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "present-judgment", + "metadata": {}, + "outputs": [], + "source": [ + "possibleRelationship = [\"aunt\", \"brother\", \"cousin\", \"daughter\", \"father\", \"grandfather\", \"grandmother\", \"great aunt\", \n", + " \"great grandfather\", \"great grandmother\", \"great uncle\", \"mother\", \"niece\", \"sister\", \"uncle\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "southern-biology", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['sister', 'father', 'aunt']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'brother', 'aunt']]\n", + "['rel_relation', ['sister', 'cousin', 'aunt', 'grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'aunt', 'cousin']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['', 'grandmother', 'mother', 'father']]\n", + "['rel_relation', ['father', 'brother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['father', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'aunt', 'grandfather', 'great uncle', 'mother', 'uncle', 'father']]\n", + "['rel_relation', ['', 'father', 'mother', 'daughter']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather', 'great uncle', 'uncle', 'mother']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['sister', 'mother']]\n", + "['rel_relation', ['uncle', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['sister', 'grandmother']]\n", + "['rel_relation', ['sister', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['uncle', 'mother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['uncle', 'father', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['sister', 'mother', 'brother']]\n", + "['rel_relation', ['cousin', 'uncle', 'father', 'grandfather']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['mother', 'grandfather', 'father']]\n", + "['rel_relation', ['grandfather', 'great aunt']]\n", + "['rel_relation', ['uncle', 'father', 'aunt']]\n", + "['rel_relation', ['grandmother', 'father', 'aunt']]\n", + "['rel_relation', ['sister', 'mother', 'aunt', 'daughter']]\n", + "['rel_relation', ['sister']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'father']]\n", + "['rel_relation', ['cousin', 'brother', 'aunt', 'mother', 'uncle', 'father']]\n", + "['rel_relation', ['mother', 'brother', 'aunt']]\n", + "['rel_relation', ['mother', 'brother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['cousin', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['cousin', 'grandfather', 'grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['aunt', 'grandfather', 'grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['mother', 'brother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'brother']]\n", + "['rel_relation', ['mother', 'brother']]\n", + "['rel_relation', ['aunt', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['grandmother', 'brother', 'grandfather', 'father']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'mother', 'father']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['aunt', 'grandfather', 'great aunt', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['uncle', 'mother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['uncle', 'mother', 'grandfather', 'aunt']]\n", + "['rel_relation', ['uncle', 'mother', 'aunt', 'niece']]\n", + "['rel_relation', ['', 'sister']]\n", + "['rel_relation', ['sister', 'grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'father']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'father', 'cousin']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['mother', 'brother', 'father']]\n", + "['rel_relation', ['', 'uncle', 'father', 'mother']]\n", + "['rel_relation', ['cousin', 'aunt']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['sister', 'cousin', 'aunt', 'father', 'mother']]\n", + "['rel_relation', ['', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather', 'aunt']]\n", + "['rel_relation', ['sister', 'cousin', 'aunt', 'grandfather', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['sister', 'father']]\n", + "['rel_relation', ['grandmother', 'father', 'aunt']]\n", + "['rel_relation', ['', 'great aunt', 'great uncle', 'great grandmother', 'father', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['sister', 'father']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['sister', 'cousin']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['cousin', 'brother', 'aunt', 'father', 'mother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father', 'aunt']]\n", + "['rel_relation', ['sister', 'grandmother', 'father', 'aunt']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['sister', 'grandmother', 'mother', 'great grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'sister', 'grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['sister', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['cousin', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'father', 'aunt']]\n", + "['rel_relation', ['', 'grandfather', 'grandmother', 'father', 'mother']]\n", + "['rel_relation', ['aunt']]\n", + "['rel_relation', ['grandmother', 'father', 'aunt']]\n", + "['rel_relation', ['mother', 'aunt', 'father']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'uncle', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'aunt', 'cousin']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['sister', 'grandmother']]\n", + "['rel_relation', ['sister', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother', 'niece']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'grandmother', 'father']]\n", + "['rel_relation', ['', 'grandfather', 'grandmother', 'father', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['sister', 'uncle']]\n", + "['rel_relation', ['uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt']]\n", + "['rel_relation', ['cousin', 'uncle', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'cousin', 'grandfather', 'grandmother', 'mother']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt']]\n", + "['rel_relation', ['mother', 'grandfather', 'father']]\n", + "['rel_relation', ['', 'aunt', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['sister', 'mother', 'aunt', 'daughter']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather']]\n", + "['rel_relation', ['father', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['sister', 'mother', 'brother']]\n", + "['rel_relation', ['sister', 'grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'sister', 'mother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'mother', 'father']]\n", + "['rel_relation', ['mother', 'brother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'aunt', 'grandfather', 'great grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'great aunt']]\n", + "['rel_relation', ['aunt', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'great grandmother', 'great aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['brother', 'grandfather', 'great aunt', 'uncle', 'mother']]\n", + "['rel_relation', ['', 'uncle', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['uncle', 'father', 'aunt']]\n", + "['rel_relation', ['sister', 'grandmother', 'aunt', 'great aunt']]\n", + "['rel_relation', ['', 'sister', 'father']]\n", + "['rel_relation', ['', 'sister']]\n", + "['rel_relation', ['', 'sister']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['sister', 'cousin', 'mother']]\n", + "['rel_relation', ['sister', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'father']]\n", + "['rel_relation', ['mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['brother', 'grandfather', 'grandmother', 'great grandmother', 'mother']]\n", + "['rel_relation', ['', 'aunt', 'grandfather', 'grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'great grandmother']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['', 'grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['', 'uncle', 'mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather', 'uncle', 'mother']]\n", + "['rel_relation', ['uncle', 'mother', 'father']]\n", + "['rel_relation', ['sister', 'mother', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'father']]\n", + "['rel_relation', ['aunt', 'grandmother', 'daughter', 'uncle', 'mother']]\n", + "['rel_relation', ['', 'sister', 'cousin', 'father', 'daughter', 'mother']]\n", + "['rel_relation', ['cousin', 'mother']]\n", + "['rel_relation', ['mother', 'brother']]\n", + "['rel_relation', ['mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['cousin', 'mother', 'aunt']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'cousin', 'aunt']]\n", + "['rel_relation', ['', 'grandfather', 'grandmother', 'great grandmother', 'mother']]\n", + "['rel_relation', ['great aunt']]\n", + "['rel_relation', ['', 'great grandmother']]\n", + "['rel_relation', ['sister', 'grandmother', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['', 'grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'cousin', 'grandfather', 'grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['aunt', 'grandfather', 'grandmother', 'father', 'mother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'brother']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'cousin']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father', 'aunt']]\n", + "['rel_relation', ['uncle', 'father']]\n", + "['rel_relation', ['', 'grandfather', 'grandmother', 'father', 'mother']]\n", + "['rel_relation', ['father', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather', 'father']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'father', 'aunt']]\n", + "['rel_relation', ['grandmother', 'father', 'aunt', 'cousin']]\n", + "['rel_relation', ['', 'aunt', 'grandfather', 'grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'father', 'aunt']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['sister', 'cousin', 'aunt', 'grandfather', 'grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['father', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father', 'aunt']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['father', 'daughter']]\n", + "['rel_relation', ['grandmother', 'cousin']]\n", + "['rel_relation', ['grandmother', 'brother', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['aunt', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'niece']]\n", + "['rel_relation', ['grandmother', 'aunt', 'great grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['', 'sister', 'grandfather', 'father', 'mother']]\n", + "['rel_relation', ['uncle', 'mother', 'aunt', 'father']]\n", + "['rel_relation', ['sister', 'mother']]\n", + "['rel_relation', ['', 'sister']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'grandmother', 'mother', 'father']]\n", + "['rel_relation', ['mother', 'grandfather', 'father']]\n", + "['rel_relation', ['aunt', 'grandfather', 'grandmother', 'great grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'aunt', 'great grandmother', 'great aunt']]\n", + "['rel_relation', ['sister', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'brother']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'cousin']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['sister', 'cousin', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['', 'cousin', 'aunt', 'uncle', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'uncle', 'aunt', 'mother']]\n", + "['rel_relation', ['', 'mother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'mother']]\n", + "['rel_relation', ['uncle', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'father', 'aunt', 'great grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['sister', 'cousin', 'mother', 'aunt']]\n", + "['rel_relation', ['mother', 'daughter']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['sister', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['sister', 'mother', 'niece', 'father']]\n", + "['rel_relation', ['sister', 'father', 'brother']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['mother', 'aunt', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['sister', 'mother', 'father']]\n", + "['rel_relation', ['sister', 'grandmother', 'mother', 'father']]\n", + "['rel_relation', ['uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['uncle', 'mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'aunt']]\n", + "['rel_relation', ['mother', 'brother', 'father']]\n", + "['rel_relation', ['cousin', 'aunt', 'father', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt', 'cousin']]\n", + "['rel_relation', ['sister', 'cousin', 'brother', 'aunt', 'grandfather', 'mother']]\n", + "['rel_relation', ['', 'sister', 'grandmother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['cousin', 'brother', 'aunt', 'daughter', 'mother']]\n", + "['rel_relation', ['sister', 'father', 'aunt']]\n", + "['rel_relation', ['', 'father', 'aunt']]\n", + "['rel_relation', ['sister', 'father', 'brother']]\n", + "['rel_relation', ['father', 'aunt']]\n", + "['rel_relation', ['', 'brother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'father']]\n", + "['rel_relation', ['sister', 'cousin', 'grandfather', 'uncle', 'mother']]\n", + "['rel_relation', ['cousin', 'brother', 'aunt', 'grandmother', 'father']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['uncle', 'mother', 'aunt']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['', 'sister', 'niece']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['cousin', 'mother', 'aunt', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['aunt']]\n", + "['rel_relation', ['sister', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['great grandfather', 'grandmother', 'great grandmother']]\n", + "['rel_relation', ['uncle', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather', 'aunt']]\n", + "['rel_relation', ['brother', 'aunt', 'grandmother', 'father', 'mother']]\n", + "['rel_relation', ['', 'sister', 'mother']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['cousin', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'sister', 'father', 'grandfather']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'sister', 'cousin']]\n", + "['rel_relation', ['', 'sister']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'cousin']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['sister', 'cousin', 'brother', 'aunt', 'grandmother', 'mother']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather', 'grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['great grandfather', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['sister', 'cousin']]\n", + "['rel_relation', ['sister', 'aunt', 'grandfather', 'father', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['mother', 'aunt', 'father']]\n", + "['rel_relation', ['aunt', 'grandfather', 'grandmother', 'father', 'mother']]\n", + "['rel_relation', ['mother', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'mother', 'great grandmother', 'great aunt']]\n", + "['rel_relation', ['', 'grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['uncle', 'mother', 'grandfather']]\n", + "['rel_relation', ['mother', 'grandfather', 'father']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['mother', 'aunt', 'father']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'sister', 'aunt', 'mother', 'uncle', 'father']]\n", + "['rel_relation', ['father', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'great grandmother', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['sister', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'mother', 'aunt']]\n", + "['rel_relation', ['uncle', 'father', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'great grandmother', 'great aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather', 'father']]\n", + "['rel_relation', ['grandmother', 'aunt', 'cousin']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['uncle', 'father', 'aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father', 'aunt']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['cousin', 'father']]\n", + "['rel_relation', ['grandmother', 'brother', 'grandfather']]\n", + "['rel_relation', ['brother', 'aunt', 'father']]\n", + "['rel_relation', ['uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['cousin', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['sister', 'mother', 'aunt', 'niece']]\n", + "['rel_relation', ['sister', 'mother', 'brother']]\n", + "['rel_relation', ['grandfather', 'grandmother', 'great grandmother', 'mother', 'uncle', 'father']]\n", + "['rel_relation', ['uncle', 'father', 'grandfather', 'aunt']]\n", + "['rel_relation', ['uncle', 'father', 'grandfather', 'aunt']]\n", + "['rel_relation', ['', 'grandmother', 'father']]\n", + "['rel_relation', ['', 'sister', 'cousin', 'aunt', 'grandfather', 'great uncle', 'grandmother', 'father']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['great uncle', 'grandfather', 'great aunt']]\n", + "['rel_relation', ['mother', 'aunt', 'great aunt']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandmother', 'father', 'mother']]\n", + "['rel_relation', ['brother', 'aunt', 'grandfather', 'grandmother', 'niece', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt', 'father']]\n", + "['rel_relation', ['great uncle', 'grandmother', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['sister', 'grandmother']]\n", + "['rel_relation', ['sister', 'cousin', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['mother', 'great aunt']]\n", + "['rel_relation', ['sister', 'aunt', 'grandmother', 'father', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['', 'mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['', 'cousin', 'grandfather', 'great uncle', 'grandmother', 'mother', 'father']]\n", + "['rel_relation', ['', 'grandfather', 'father', 'daughter', 'mother']]\n", + "['rel_relation', ['mother', 'daughter']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['father', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['sister', 'grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt', 'father']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'sister']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['sister', 'grandfather', 'grandmother', 'great grandmother', 'uncle']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'sister']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['sister', 'father', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['cousin', 'grandfather', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'mother', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['mother', 'aunt', 'brother', 'niece']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'aunt']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['sister', 'grandmother', 'mother']]\n", + "['rel_relation', ['sister', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'aunt']]\n", + "['rel_relation', ['uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['uncle', 'mother', 'aunt', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['cousin', 'mother', 'aunt', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['uncle', 'father', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'cousin', 'brother', 'grandfather', 'grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['great grandfather', 'grandmother', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['sister', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['father', 'aunt', 'great grandmother']]\n", + "['rel_relation', ['', 'niece']]\n", + "['rel_relation', ['cousin', 'brother', 'aunt', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['mother', 'grandfather', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather', 'aunt']]\n", + "['rel_relation', ['', 'aunt', 'grandfather', 'great aunt', 'grandmother', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['cousin', 'mother', 'father']]\n", + "['rel_relation', ['mother', 'grandfather', 'father']]\n", + "['rel_relation', ['cousin', 'aunt', 'brother', 'grandmother', 'uncle']]\n", + "['rel_relation', ['uncle', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['grandfather']]\n", + "['rel_relation', ['sister', 'father', 'brother']]\n", + "['rel_relation', ['', 'grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'grandfather']]\n", + "['rel_relation', ['sister', 'mother', 'father']]\n", + "['rel_relation', ['cousin', 'mother', 'grandfather']]\n", + "['rel_relation', ['', 'cousin', 'aunt', 'grandfather', 'mother']]\n", + "['rel_relation', ['', 'grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['sister', 'grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['uncle', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['sister', 'mother', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'great grandmother', 'great aunt']]\n", + "['rel_relation', ['uncle', 'brother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['great grandfather', 'grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'cousin', 'mother']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['sister', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'uncle', 'mother']]\n", + "['rel_relation', ['mother', 'grandfather', 'father']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'father']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['father', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['aunt']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['mother', 'brother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['uncle', 'brother']]\n", + "['rel_relation', ['sister', 'grandmother', 'mother', 'brother']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['sister', 'cousin', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'grandfather']]\n", + "['rel_relation', ['aunt']]\n", + "['rel_relation', ['', 'cousin', 'father', 'uncle', 'mother']]\n", + "['rel_relation', ['', 'uncle', 'father', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['brother', 'aunt']]\n", + "['rel_relation', ['grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['aunt', 'grandfather', 'grandmother', 'father', 'mother']]\n", + "['rel_relation', ['great grandfather', 'cousin', 'grandfather', 'great aunt']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['uncle', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'cousin']]\n", + "['rel_relation', ['grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['mother', 'grandfather', 'father']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['mother', 'aunt', 'father']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'cousin']]\n", + "['rel_relation', ['grandmother', 'great aunt']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['uncle', 'father']]\n", + "['rel_relation', ['grandmother', 'father', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather', 'aunt']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt', 'father']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'mother', 'great aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['father', 'grandfather']]\n", + "['rel_relation', ['mother', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather', 'cousin']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['', 'mother', 'grandfather']]\n", + "['rel_relation', ['', 'uncle', 'mother', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'great grandmother']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['', 'brother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'aunt', 'grandmother', 'father', 'mother']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['', 'mother', 'grandfather']]\n", + "['rel_relation', ['', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather', 'aunt']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'great grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['cousin', 'father', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandfather']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['uncle', 'father', 'aunt']]\n", + "['rel_relation', ['', 'cousin', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'brother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'great grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['', 'aunt', 'grandfather', 'great aunt', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['sister', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['mother', 'brother', 'father']]\n", + "['rel_relation', ['', 'sister']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['great grandmother', 'great aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['great aunt']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['uncle', 'mother', 'aunt', 'great grandmother']]\n", + "['rel_relation', ['sister', 'grandmother', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['mother', 'great grandmother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'cousin', 'brother', 'aunt', 'mother']]\n", + "['rel_relation', ['', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather', 'father']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['', 'sister']]\n", + "['rel_relation', ['aunt', 'great aunt']]\n", + "['rel_relation', ['', 'sister', 'brother', 'grandmother', 'great grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['great grandfather', 'great grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['sister', 'father']]\n", + "['rel_relation', ['sister', 'grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['father', 'brother']]\n", + "['rel_relation', ['grandmother', 'father', 'aunt']]\n", + "['rel_relation', ['uncle', 'aunt']]\n", + "['rel_relation', ['uncle']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['uncle', 'aunt']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['sister', 'great grandmother']]\n", + "['rel_relation', ['', 'sister']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['aunt', 'father']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'aunt']]\n", + "['rel_relation', ['uncle', 'mother']]\n", + "['rel_relation', ['mother', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['mother', 'great grandmother']]\n", + "['rel_relation', ['', 'grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['sister', 'grandmother', 'mother', 'cousin']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather', 'cousin']]\n", + "['rel_relation', ['cousin', 'mother', 'grandfather', 'aunt']]\n", + "['rel_relation', ['sister', 'mother', 'brother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['cousin', 'mother', 'grandfather']]\n", + "['rel_relation', ['aunt', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['great grandmother', 'great aunt']]\n", + "['rel_relation', ['grandfather', 'great grandmother', 'great aunt']]\n", + "['rel_relation', ['', 'great aunt']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'great grandmother']]\n", + "['rel_relation', ['aunt', 'grandfather', 'great aunt', 'grandmother', 'mother', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'father']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'great grandmother', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'great aunt']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'great grandmother', 'cousin']]\n", + "['rel_relation', ['grandmother', 'cousin']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['sister', 'grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandfather', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'cousin']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'cousin']]\n", + "['rel_relation', ['grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['', 'cousin', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'father', 'great grandmother', 'great aunt']]\n", + "['rel_relation', ['aunt', 'grandfather', 'great aunt', 'grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['great grandfather', 'grandfather', 'grandmother', 'great grandmother', 'father']]\n", + "['rel_relation', ['father', 'grandfather']]\n", + "['rel_relation', ['father', 'grandfather']]\n", + "['rel_relation', ['father']]\n", + "['rel_relation', ['father', 'aunt']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['cousin', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'great grandmother', 'cousin']]\n", + "['rel_relation', ['brother', 'grandfather', 'father']]\n", + "['rel_relation', ['', 'brother']]\n", + "['rel_relation', ['uncle', 'aunt']]\n", + "['rel_relation', ['uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'cousin', 'aunt', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['uncle']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['mother', 'brother']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'father']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['father', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather', 'grandmother', 'mother', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['great aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['great uncle', 'great grandfather', 'great aunt']]\n", + "['rel_relation', ['uncle', 'mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['father', 'grandfather', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['cousin', 'uncle', 'mother', 'brother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandfather', 'great aunt', 'grandmother', 'great grandmother', 'father']]\n", + "['rel_relation', ['grandfather', 'great grandmother', 'great aunt']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['uncle', 'father', 'aunt']]\n", + "['rel_relation', ['sister', 'father', 'brother']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['great grandfather', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['uncle', 'aunt']]\n", + "['rel_relation', ['', 'great grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['cousin', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['sister', 'grandmother', 'mother']]\n", + "['rel_relation', ['', 'mother', 'father', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'sister', 'aunt', 'grandfather', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'cousin']]\n", + "['rel_relation', ['sister', 'mother', 'great aunt']]\n", + "['rel_relation', ['grandfather']]\n", + "['rel_relation', ['', 'cousin', 'aunt', 'grandfather', 'father']]\n", + "['rel_relation', ['father', 'grandfather']]\n", + "['rel_relation', ['cousin', 'mother', 'brother', 'father']]\n", + "['rel_relation', ['cousin', 'uncle', 'mother']]\n", + "['rel_relation', ['sister', 'mother']]\n", + "['rel_relation', ['', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father', 'niece', 'cousin']]\n", + "['rel_relation', ['mother', 'brother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['uncle', 'aunt']]\n", + "['rel_relation', ['sister', 'aunt']]\n", + "['rel_relation', ['mother', 'grandfather', 'aunt']]\n", + "['rel_relation', ['cousin', 'uncle', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['great grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'cousin', 'aunt']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather', 'aunt']]\n", + "['rel_relation', ['cousin', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['uncle', 'mother', 'aunt', 'father']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['aunt', 'grandfather', 'great aunt', 'great uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'father']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['great uncle', 'mother', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather', 'aunt']]\n", + "['rel_relation', ['cousin', 'grandfather', 'great aunt', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['aunt', 'grandfather', 'grandmother', 'great grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['uncle', 'mother', 'grandfather', 'aunt']]\n", + "['rel_relation', ['uncle', 'mother', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'brother']]\n", + "['rel_relation', ['mother', 'father', 'aunt', 'grandfather']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'great grandmother']]\n", + "['rel_relation', ['great uncle', 'grandfather', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'uncle', 'cousin']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'cousin']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'cousin']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['cousin', 'brother', 'grandfather', 'father']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['father', 'grandfather']]\n", + "['rel_relation', ['sister', 'aunt', 'grandmother', 'father', 'mother']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['grandfather', 'great grandmother']]\n", + "['rel_relation', ['sister', 'mother', 'brother', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['cousin', 'grandmother', 'mother', 'uncle', 'father']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['sister', 'grandmother', 'aunt', 'father']]\n", + "['rel_relation', ['grandmother', 'aunt', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['uncle', 'aunt']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother', 'aunt']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['great grandfather', 'grandmother']]\n", + "['rel_relation', ['', 'great aunt']]\n", + "['rel_relation', ['aunt', 'grandfather', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather', 'grandmother', 'uncle', 'father']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['great grandfather', 'cousin', 'grandfather', 'father', 'mother']]\n", + "['rel_relation', ['father', 'grandfather']]\n", + "['rel_relation', ['father', 'grandfather']]\n", + "['rel_relation', ['sister', 'mother', 'father']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['father', 'aunt']]\n", + "['rel_relation', ['mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather', 'father']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['cousin', 'uncle', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['great uncle', '']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['grandmother', 'uncle', 'brother']]\n", + "['rel_relation', ['father', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'brother']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'aunt', 'father']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['grandfather', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['cousin', 'mother', 'grandfather']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['sister', 'cousin', 'aunt']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'great grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandfather', 'great grandmother']]\n", + "['rel_relation', ['uncle', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'uncle', 'aunt']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['uncle', 'mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['sister', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['', 'mother', 'grandfather', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['aunt', 'great aunt', 'grandmother', 'great grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['sister', 'grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['father', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['father', 'great grandmother']]\n", + "['rel_relation', ['uncle', 'aunt', 'mother']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['cousin', 'brother', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['', 'sister', 'father']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['cousin', 'grandmother', 'mother', 'uncle', 'father']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'mother', 'brother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['cousin', 'uncle', 'mother', 'father']]\n", + "['rel_relation', ['', 'cousin', 'aunt', 'grandfather', 'grandmother', 'uncle', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'father', 'great grandmother']]\n", + "['rel_relation', ['father', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'brother']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['mother', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['cousin', 'grandfather']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['cousin', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['father']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['mother', 'grandfather', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['cousin', 'uncle', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['great uncle', '']]\n", + "['rel_relation', ['', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['father', 'grandfather']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['sister', 'mother', 'great grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['cousin', 'aunt', 'grandfather', 'mother', 'uncle', 'father']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'great grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['mother', 'grandfather', 'father']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['great grandfather', 'grandmother', 'mother']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'mother', 'cousin']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather', 'cousin']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'uncle']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['brother', 'niece']]\n", + "['rel_relation', ['grandmother', 'uncle', 'brother']]\n", + "['rel_relation', ['mother', 'aunt', 'grandfather']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['uncle', 'grandfather']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['great grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['brother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'aunt']]\n", + "['rel_relation', ['grandfather', 'great aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'mother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'mother', 'father']]\n", + "['rel_relation', ['']]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['grandmother', 'mother', 'cousin']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['grandmother', 'great grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'uncle', 'great aunt']]\n", + "['rel_relation', ['grandmother', 'mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'mother', 'aunt']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['great grandfather', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'uncle', 'mother', 'daughter']]\n", + "['rel_relation', ['', 'cousin']]\n", + "['rel_relation', ['', 'brother']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['uncle', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'father']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['mother', 'father']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'uncle']]\n", + "['rel_relation', ['mother', 'grandfather', 'great grandmother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'great aunt']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['grandmother', 'father', 'grandfather']]\n", + "['rel_relation', ['father', 'grandfather', 'aunt']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['uncle', 'father', 'great aunt']]\n", + "['rel_relation', ['aunt', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['grandmother', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['grandmother', 'aunt']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['mother', 'grandfather']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['', 'father']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandmother', 'mother']]\n", + "['rel_relation', ['', 'mother']]\n", + "['rel_relation', ['mother', 'brother', 'grandfather']]\n", + "['rel_relation', ['', 'grandmother']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'grandfather']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['']]\n", + "['rel_relation', ['', 'aunt']]\n" + ] + } + ], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_relation\":\n", + " newList = []\n", + " for valr in j[1]:\n", + " if not valr in possibleRelationship:\n", + " newList.append(\"\")\n", + " else:\n", + " newList.append(valr)\n", + " newList = list(set(newList))\n", + " if (\"\" in newList) and (not \"\" in newList) and len(newList) != 1:\n", + " newList.remove(\"\")\n", + " j[1] = newList\n", + " print(j)\n", + "#possibleRelationship.append(\"\")" + ] + }, + { + "cell_type": "markdown", + "id": "honey-sense", + "metadata": {}, + "source": [ + "### ```rel_cancer```" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "boolean-distributor", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_cancer', ['squamous cell carcinoa', 'bladder', 'ovarian', 'liver', 'leukemia', 'breast']]\n", + "['rel_cancer', ['squamous cell carcinoa', 'bladder', 'ovarian', 'liver', 'leukemia', 'breast']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['colon', 'uterine']]\n", + "['rel_cancer', ['prostate', 'lymphoma']]\n", + "['rel_cancer', ['brain', 'colon', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'bladder', 'pancreatic', 'lung', 'breast']]\n", + "['rel_cancer', ['skin', 'lung', 'breast']]\n", + "['rel_cancer', ['colon', 'uterine']]\n", + "['rel_cancer', ['colon', 'leukemia', 'salivary gland']]\n", + "['rel_cancer', ['larynxtongue', 'skin', 'colon', 'tonsil', 'brain', 'breast']]\n", + "['rel_cancer', ['prostate', 'squamous cell carcinoma', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['breast', 'bile duct']]\n", + "['rel_cancer', ['lung', 'adenocarcinoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['cervical', 'uterine', 'breast']]\n", + "['rel_cancer', ['', 'throat', 'stomach', 'colon', 'blood', 'not sure what kind of she had', 'brain', 'ovarian', 'cervical', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['preous polyps', 'neuro blastoma on adrenal gland', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['skin', 'colon', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'lymphoma', 'colon', 'lung', 'pancreas']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast']]\n", + "['rel_cancer', ['cervical', 'pancreatic']]\n", + "['rel_cancer', ['pancreatic', 'thyroid']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['grandmother', 'cousin']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'uterus']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['lymphoma', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['lung', 'pancreatic', 'sumerian']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['stomach', 'bone', 'lung', 'pancreatic']]\n", + "['rel_cancer', ['pancreatic']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['esophagus', 'pancreatic']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'lung', 'breast']]\n", + "['rel_cancer', ['brain', 'pancreas']]\n", + "['rel_cancer', ['colon', 'pancreatic']]\n", + "['rel_cancer', ['skin', 'breat', 'ovarian']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['colin', 'lung', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'pancreatic', 'melanoma', 'brain', 'prostate', 'nasal', 'lung', 'breast']]\n", + "['rel_cancer', ['testicular', 'breast']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['lung', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'ovarian']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'breast']]\n", + "['rel_cancer', ['mesothelioma', 'throat', 'prostate', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'pancreatic', 'breast', 'colon']]\n", + "['rel_cancer', ['melanoma', 'uterine']]\n", + "['rel_cancer', ['testicular', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'leukemia', 'cervical']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['kidney', 'colon', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['bone', 'endometrial', 'rectal', 'skin', 'prostate', 'thyroid', 'breast']]\n", + "['rel_cancer', ['stomach', 'ovarian']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['eye', 'colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['ovarian']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['bone', 'colon', 'thyroid', 'breast']]\n", + "['rel_cancer', ['testicular', 'prostate', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'cervical', 'meds', 'leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'esophageal']]\n", + "['rel_cancer', ['colon', 'eye']]\n", + "['rel_cancer', ['basil cell carcinoma', 'breast', 'basil cell carcinoma', 'kidney', 'renal cell carcinoma']]\n", + "['rel_cancer', ['skin', 'colon', 'ovarian', 'breast']]\n", + "['rel_cancer', ['oral sarcoma', 'lung', 'breast', 'melanoma']]\n", + "['rel_cancer', ['lymphoma', 'bladder', 'stomach', 'colon', 'breat', 'stonach esophagus', 'lung']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['brain', 'colon', 'ovarian', 'lung']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast', 'ampullary']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['stomach', 'colon', 'pancreatic', 'lung', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon', 'myeloma', 'prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'ovarian', 'breast']]\n", + "['rel_cancer', ['bone', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'brain', 'ovarian', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['cervical', 'pancreatic', 'skin', 'bladder']]\n", + "['rel_cancer', ['prostate', 'ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['stomach', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['colon', 'pancreatic']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['melanoma', 'lung', 'colon', 'breast']]\n", + "['rel_cancer', ['uterine', 'breast', 'rectal']]\n", + "['rel_cancer', ['', 'i', 'e', 'u', 'a']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['melanoma', 'ovarian', 'breast', 'cervical']]\n", + "['rel_cancer', ['melanoma', 'ovarian', 'pancreatic']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'ovarian']]\n", + "['rel_cancer', ['skin', 'colon', 'breast']]\n", + "['rel_cancer', ['cervical', 'endometrial', 'ovarian', 'breast']]\n", + "['rel_cancer', ['uterine', 'ovarian']]\n", + "['rel_cancer', ['pancreatic', 'thyroid']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['sarcoma on rib', 'breast']]\n", + "['rel_cancer', ['lung', 'kidney']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['throat', 'rectal', 'skin', 'prostate', 'breast']]\n", + "['rel_cancer', ['bone', 'stomach', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['lung', 'ovarian']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lymph', 'pancreas', 'liver', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'lung', 'breast', 'pancreas']]\n", + "['rel_cancer', ['brain', 'lung', 'ovarian', 'pancreatic']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['', 'i', 'e', 'a', 'o']]\n", + "['rel_cancer', ['skin', 'colon', 'breast', 'pancreas']]\n", + "['rel_cancer', ['brain', 'ovarian']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['ovarian', 'liver']]\n", + "['rel_cancer', ['skin', 'lung', 'colon', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['bone', 'prostate', 'breast']]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_cancer', ['skin', 'adult age lukemia', 'breast']]\n", + "['rel_cancer', ['braca 1 positive', 'colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['kidney', 'lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['skin', 'heart', 'breast']]\n", + "['rel_cancer', ['melanoma', 'merkel cell carcinoma', 'breast']]\n", + "['rel_cancer', ['bone', 'breast', 'ovarian', 'lung', 'unsure of type']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['leukemia', 'lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast', 'throat']]\n", + "['rel_cancer', ['lump on arm', 'throat', 'colon', 'ovarian', 'lung', 'breast']]\n", + "['rel_cancer', ['ovarian', 'thyroid', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['stomach', 'nasopharyngeal', 'thyroid', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['throat', 'brain', 'ovarian', 'liver', 'breast']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'leukemia']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['skin', 'brain', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['pancreas', 'liver', 'breast', 'kidney']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['skin', 'colon', 'leukemia', 'throat']]\n", + "['rel_cancer', ['stomach', 'colon', 'pancreatic', 'lymph', 'lung']]\n", + "['rel_cancer', ['cervical', 'lung', 'colon', 'liver']]\n", + "['rel_cancer', ['pancreatic', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['breat', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['endometrial', 'prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['cervical', 'colon', 'breast', 'melanoma']]\n", + "['rel_cancer', ['melanoma', 'lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['myeloma', 'breast', 'melanoma', 'prostate', 'lung', 'kidney']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['bone', 'renal', 'liver', 'pancreatitis', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast', 'throat']]\n", + "['rel_cancer', ['testicular', 'breast', 'throat']]\n", + "['rel_cancer', ['stomach', 'breast']]\n", + "['rel_cancer', ['colon', 'leukemia']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['stomach', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast', 'lymphoma']]\n", + "['rel_cancer', ['breast', 'rectal']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['bone', 'stomach', 'colon', 'pancreatic', 'brain', 'hodgikins disease', 'esophagus', 'lung', 'breast']]\n", + "['rel_cancer', ['bone', 'uterus']]\n", + "['rel_cancer', ['prostate', 'colon', 'ovarian']]\n", + "['rel_cancer', ['uterine', 'breast', 'esophageal']]\n", + "['rel_cancer', ['spinal', 'brain', 'colon']]\n", + "['rel_cancer', ['neuroblastoma', 'pancreatic', 'ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon', 'ovarian']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'ovarian']]\n", + "['rel_cancer', ['brain', 'ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'pancreas']]\n", + "['rel_cancer', ['uterine']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'kidney']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['sinus', 'kidney', 'breast', 'cervical']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['pancreatic', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'bone', 'blood', 'ovarian', 'cervical']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['bone', 'liver', 'cervix']]\n", + "['rel_cancer', ['skin', 'leukemia', 'breast']]\n", + "['rel_cancer', ['ovarian', 'thyroid']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['colon', 'blood', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['skin', 'uterine', 'colon', 'pancreatic']]\n", + "['rel_cancer', ['stomach', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['brain', 'bladder']]\n", + "['rel_cancer', ['skin', 'kidney', 'ovarian', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['testicular', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['kidney', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'colon']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'basalcell', 'colon']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['breast', 'kidney']]\n", + "['rel_cancer', ['stomach', 'lung', 'esophageal']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'colon', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'pancreatic', 'breast', 'colon']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['lung', 'colon', 'leukemia', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon']]\n", + "['rel_cancer', ['melanoma', 'colon', 'breast']]\n", + "['rel_cancer', ['stomach', 'melanoma', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['melanoma', 'ovarian']]\n", + "['rel_cancer', ['lymphoma', 'bladder']]\n", + "['rel_cancer', ['stomach', 'prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'leukemia']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'skin', 'cervical', 'lung', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['skin', 'lung', 'colon']]\n", + "['rel_cancer', ['abdominal origin', 'bladder', 'skin', 'pancreatic', 'lymph node', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian', 'lymphoma']]\n", + "['rel_cancer', ['prostate', 'colon', 'bladder']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['ovarian', 'urethra']]\n", + "['rel_cancer', ['veteran', 'breast']]\n", + "['rel_cancer', ['skin', 'breast', 'kidney']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['breast', 'uterus']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'ovarian', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['hip', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'pancreatic', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'uterus']]\n", + "['rel_cancer', ['', 'bladder', 'renal', 'testicular', 'breast']]\n", + "['rel_cancer', ['stomach', 'brain', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['cervical', 'bone', 'uterine']]\n", + "['rel_cancer', ['cervical', 'lung', 'ovarian', 'skin']]\n", + "['rel_cancer', ['throat', 'skin', 'pancreatic', 'prostate', 'breast']]\n", + "['rel_cancer', ['breast', 'rectal']]\n", + "['rel_cancer', ['melanoma', 'lung', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['prostate', 'uterine']]\n", + "['rel_cancer', ['bone', 'lung', 'breast']]\n", + "['rel_cancer', ['skin', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'uterine']]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_cancer', ['ovarian', 'squamouse cell', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['ovarian', 'thyroid', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'uterine', 'laryngeal']]\n", + "['rel_cancer', ['bone', 'uterine', 'colon', 'ovarian']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['rectal', 'colon', 'melanoma', 'prostate', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['laryngeal', 'brain', 'prostate', 'lung', 'uterine', 'breast']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast', 'colon']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'breast', 'kidney']]\n", + "['rel_cancer', ['', 'rectal']]\n", + "['rel_cancer', ['bone', 'uterine', 'breast']]\n", + "['rel_cancer', ['bone', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['positive for brach gene', 'prostate', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['skin', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['testicular', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'pancreatic']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['cervical', 'colon', 'breast']]\n", + "['rel_cancer', ['lung', 'prostate', 'small bowel', 'ovarian']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['neuroendocrine', 'lung', 'pancreatic', 'lymphoma']]\n", + "['rel_cancer', ['bone', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'liver', 'breast']]\n", + "['rel_cancer', ['testicular', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['brain', 'prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['colon', ' was in abdomen', 'prostate', 'uterine', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic', 'mouth', 'lymphoma']]\n", + "['rel_cancer', ['cervical', 'colon', 'breast']]\n", + "['rel_cancer', ['skin', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['colon', 'lymphoma', 'breast', 'thyroid']]\n", + "['rel_cancer', ['colon', 'ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'liver', 'breast']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'mouth', 'breast']]\n", + "['rel_cancer', ['brain', 'thyroid', 'breast']]\n", + "['rel_cancer', ['uterine', 'pancreatic']]\n", + "['rel_cancer', ['melanoma', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'melanoma', 'appendix', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['thyroid', 'breast', 'esophageal']]\n", + "['rel_cancer', ['lung', 'pancreas', 'breast', 'bladder']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast', 'colon']]\n", + "['rel_cancer', ['cervical', 'brain', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'breast', ' not sure what type']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'ovarian', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['cervical', 'breast', 'melanoma']]\n", + "['rel_cancer', ['tongue', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['neuroblastoma', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['endometrial', 'hodgkins disease', 'pancreatic', 'melanoma', 'prostate', 'kidney', 'breast']]\n", + "['rel_cancer', ['skin', 'brain', 'liver', 'breast']]\n", + "['rel_cancer', ['', 'i', 'e', 'a', 'o']]\n", + "['rel_cancer', ['skin', 'colon', 'throat']]\n", + "['rel_cancer', ['skin', 'prostate', 'ovarian']]\n", + "['rel_cancer', ['lymphoma', 'breast', 'germline']]\n", + "['rel_cancer', ['ovarian', 'thyroid', 'tongue']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['colon', 'liver', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic', 'leukemia', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'ovarian', 'lymphoma']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['lymphoma', 'colon', 'prostate', 'ovarian', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['colon', 'uterine', 'leukemia', 'breast']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['skin', 'leukemia', 'breast', \"alzheimer's\"]]\n", + "['rel_cancer', ['kidney', 'breast']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast', 'melanoma']]\n", + "['rel_cancer', ['colon', 'lymphoma', 'breast', 'thyroid']]\n", + "['rel_cancer', ['kidney', 'ovarian', 'breast']]\n", + "['rel_cancer', ['bone', 'lymphoma', 'colon', 'ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'bone', 'colon', 'breast']]\n", + "['rel_cancer', ['breast', 'lymphoma']]\n", + "['rel_cancer', ['colon', 'myeloma']]\n", + "['rel_cancer', ['colon', 'mouth', 'breast', 'bile duct']]\n", + "['rel_cancer', ['brain', 'leukemia', 'breast']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['skin', 'not sure of origin deceased from metastic', 'lung', 'breast']]\n", + "['rel_cancer', ['uterine', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['bone', 'stomach', 'ovarian', 'leukemia', 'breast', 'bile duct']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['uterine', 'colon', 'ovarian', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['brain', 'lung', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon']]\n", + "['rel_cancer', ['pancreatic']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['melanoma', 'pancreatic']]\n", + "['rel_cancer', ['sumerian', 'breast', 'colon']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['spinal', 'prostate', 'mouth', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'ovarian', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'ovarian', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast', 'esophageal']]\n", + "['rel_cancer', ['melanoma', 'lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['pancreas', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['melanoma', 'ovarian']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'lymphoma']]\n", + "['rel_cancer', ['prostate', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'pancreatic']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['lung', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'rectal']]\n", + "['rel_cancer', ['', 'pancreas']]\n", + "['rel_cancer', ['uterine', 'colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'prostate', 'liver', 'ovarian', 'lung']]\n", + "['rel_cancer', ['lung', 'pancreatic', 'bladder']]\n", + "['rel_cancer', ['liver', 'retinablastoma', 'lymphoma']]\n", + "['rel_cancer', ['colon', 'bladder']]\n", + "['rel_cancer', ['stomach', 'colon', 'breast']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['lung', 'breast', 'throat']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['stomach', 'prostate']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['cervical', 'testicular', 'rectal']]\n", + "['rel_cancer', ['brain', 'thymoma', 'ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'brain', 'ovarian', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['colon', 'brain', 'ovarian', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_cancer', ['no but brca2', 'stomach', 'skin', 'colon', 'no but check2', 'ovarian', 'no paternal brca2', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['pancreatic']]\n", + "['rel_cancer', ['skin', 'colon', 'breast']]\n", + "['rel_cancer', ['breat', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['bladder', 'skin', 'liver', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'liver', 'breast', 'bladder']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['prostate', 'had genetic testing is positive for chek2 no', 'breast', 'chek2 and atm no but had a double mastectomy']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['cervical', 'bone', 'ovarian', 'melanoma']]\n", + "['rel_cancer', ['colon', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['testicular', 'colon', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'ovarian', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['stomach', 'premylenoma', 'lung', 'breast']]\n", + "['rel_cancer', ['cal', 'breast']]\n", + "['rel_cancer', ['bone', 'colon']]\n", + "['rel_cancer', ['cervical', 'colon']]\n", + "['rel_cancer', ['colon', 'bra']]\n", + "['rel_cancer', ['ovarian', 'lymphoma']]\n", + "['rel_cancer', ['prostate', 'colon', 'uterine']]\n", + "['rel_cancer', ['metastatic unsure where it started', 'lung', 'pancreatic']]\n", + "['rel_cancer', ['skin', 'colon', 'pancreatic', 'breast', 'kidney']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['melanoma', 'lung', 'leukemia']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['all', 'prostate', 'breast']]\n", + "['rel_cancer', ['preous polyps', 'polyps', 'breast']]\n", + "['rel_cancer', ['lung', 'throat', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['best other', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['cervical', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'brest', 'breast']]\n", + "['rel_cancer', ['endometrial', 'prostate', 'lung', 'ovarian']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['myoloma cause of death', 'colon']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['uterine', 'lung', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['bone', 'prostate', 'ovarian', 'lung', 'breast']]\n", + "['rel_cancer', ['ovarian', 'pancreatic', 'breast', 'notsure']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['brain', 'ovarian', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['many types', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['cervical', 'stomach', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['stomach', 'lung', 'breast', 'colon']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['breast', 'lymphoma', 'esophageal']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['prostate', 'uterine', 'lymphoma']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['bone', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['pharyngeal', 'ovarian', 'thyroid']]\n", + "['rel_cancer', ['stomach', 'hodgkins disease died at 51', 'not but nonmalignant on spine', 'thyroid', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'skin', 'colon', 'lung', 'uterine', 'breast']]\n", + "['rel_cancer', ['skin', 'kidney', 'ovarian', 'breast']]\n", + "['rel_cancer', ['lung', 'throat', 'pancreas']]\n", + "['rel_cancer', ['myeloma', 'pancreas', 'ovarian', 'throat']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['stomach', 'breast']]\n", + "['rel_cancer', ['brain', 'lung', 'liver', 'kidney']]\n", + "['rel_cancer', ['testicle', 'ovarian', 'breast', 'gastric']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['liver', 'lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['skin', 'renal cell carcinoma']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['cervical', 'colon', 'basal', 'breast']]\n", + "['rel_cancer', ['rare tcell', 'ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'leukemia', 'rectal']]\n", + "['rel_cancer', ['pancreatic', 'melanoma', 'prostate', 'osteosarcoma', 'lung', 'breast']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'kidney']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['vulgar', 'kidney', 'rectal']]\n", + "['rel_cancer', ['brain', 'melanomas', 'breast']]\n", + "['rel_cancer', ['adenocarcinoma', 'throat', 'origin', 'skin', 'myeloma', 'prostate', 'ovarian', 'liver', 'kidney', 'uterine', 'breast']]\n", + "['rel_cancer', ['cervical', 'colon', 'breast', 'pancreas']]\n", + "['rel_cancer', ['', 'omentum', 'eye']]\n", + "['rel_cancer', ['prostate', 'pancreatic']]\n", + "['rel_cancer', ['skin', 'nil', 'colon']]\n", + "['rel_cancer', ['colon', 'mouth', 'breast', 'bile duct']]\n", + "['rel_cancer', ['colon', 'mouth', 'breast', 'bile duct']]\n", + "['rel_cancer', ['lung', 'breast', 'hodgkins']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon', 'breast', 'bile duct']]\n", + "['rel_cancer', ['colon', 'liver', 'hodgkins', 'uterine', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'liver', 'lung', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['', 'kidney']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['uterus', 'breast']]\n", + "['rel_cancer', ['bone', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['clan', 'oral']]\n", + "['rel_cancer', ['prostate']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'all']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['unsure', 'lung', 'colon']]\n", + "['rel_cancer', ['skin', 'ovarian', 'breast', 'melanoma']]\n", + "['rel_cancer', ['melanoma', 'colon']]\n", + "['rel_cancer', ['bone', 'bladder']]\n", + "['rel_cancer', ['testicular', 'brain', 'leukemia']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['lung', 'colon', 'breast', 'bile duct']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['brain', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['lung', 'thyroid', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['brain', 'prostate']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'glioblastoma']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['brain', 'myeloma']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['prostate']]\n", + "['rel_cancer', ['colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['prostate']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['uncertain', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['stomach', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['lymphoma', 'adult lukemea', 'plasma cytoma multma myaloma', 'prostate', 'brain', 'hodgkins']]\n", + "['rel_cancer', ['skin', 'brain', 'prostate', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'oral']]\n", + "['rel_cancer', ['paloma', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon']]\n", + "['rel_cancer', ['ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['brain', 'ovarian', 'leukemia']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['liver', 'leukemia', 'kidney']]\n", + "['rel_cancer', ['testicular', 'breast']]\n", + "['rel_cancer', ['uterine', 'breast']]\n", + "['rel_cancer', ['skin', 'breast', 'bladder']]\n", + "['rel_cancer', ['brain', ' was in for gall balder surgery and discovered eatenup with', 'breast']]\n", + "['rel_cancer', ['', 'esophageal']]\n", + "['rel_cancer', ['lung', 'bladder']]\n", + "['rel_cancer', ['prostate', 'lung', 'leukemia']]\n", + "['rel_cancer', ['', 'kidney']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'colon']]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_cancer', ['metatastic squamous cell', '']]\n", + "['rel_cancer', ['brain', 'mesothelioma', 'breast']]\n", + "['rel_cancer', ['stomach', 'lung']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'breast', 'colon']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'bone']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['breast', 'intestinal']]\n", + "['rel_cancer', ['melanoma', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'glioblastoma']]\n", + "['rel_cancer', ['cervical', 'lung', 'skin', 'bladder']]\n", + "['rel_cancer', ['prostate', 'colon', 'liver', 'breast']]\n", + "['rel_cancer', ['cervical', 'colon', 'breast']]\n", + "['rel_cancer', ['stomach', 'prostate', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['stomach', '']]\n", + "['rel_cancer', ['lung', 'breast', 'rectal']]\n", + "['rel_cancer', ['skin', 'lung', 'pancreatic']]\n", + "['rel_cancer', ['skin', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['muscular', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['lung', 'sumerian']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['stomach', 'leukemia', 'melanoma', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['brain', 'lung']]\n", + "['rel_cancer', ['skin', 'lung', 'colon', 'bladder']]\n", + "['rel_cancer', ['renal', 'liver']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['brain', 'rectal']]\n", + "['rel_cancer', ['stomach', 'colon', 'prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'bladder']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['skin', 'lung', 'breast', 'kidney']]\n", + "['rel_cancer', ['melanoma', 'brain', 'breast', 'throat']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['testicular', '']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'bone', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['stomach', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'leukemia', 'mouth']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['', 'small cell']]\n", + "['rel_cancer', ['stomach', '']]\n", + "['rel_cancer', ['', '2', 'i', 'e', 'u', 'a', 'o']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['carcinoma', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['skin', 'glaucoma', 'prostate', 'colon']]\n", + "['rel_cancer', ['gastric adenocarcinoma', 'bladder']]\n", + "['rel_cancer', ['stomach', 'lung', 'uterine', 'thyroid']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lupus', 'thyroid', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['stomach', '']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'bladder']]\n", + "['rel_cancer', ['lung', 'breast', 'kidney']]\n", + "['rel_cancer', ['stomach', 'prostate']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['stomach', 'lung']]\n", + "['rel_cancer', ['colon', 'prostate', 'testicular', 'leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['neck', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'mouth', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'brain', 'esophagus', 'lung', 'kidney']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['non hockins limphoma', 'colon']]\n", + "['rel_cancer', ['leukemia', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['brain', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['cervical', 'ovarian', 'breast']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['colon', 'leukemia', 'throat']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['', 'rectal']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['merkle cell', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon', 'pancreatic', 'plasma cell', 'prostate', 'breast']]\n", + "['rel_cancer', ['lung', 'mouth', 'breast', 'renal and gland']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['colon', 'leukemia', 'breast']]\n", + "['rel_cancer', ['cervical', 'bone']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['prostate', 'liver', 'lueikmea']]\n", + "['rel_cancer', ['lung', 'gist']]\n", + "['rel_cancer', ['skin', 'colon', 'leukemia', 'lymphoma']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['skin', 'leukemia', 'throat']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['cervical', 'bone', 'anal']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['bone', 'lung']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['leukemia', 'bladder']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['breast', 'various']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['stomach', 'myeloma', 'breast']]\n", + "['rel_cancer', ['colon', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'breast', 'colon']]\n", + "['rel_cancer', ['brain', 'stage four of primary']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'lung', 'colon', 'melanoma']]\n", + "['rel_cancer', ['prostate', 'pancreatic']]\n", + "['rel_cancer', ['prostate']]\n", + "['rel_cancer', ['breast', 'esophageal']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['prostate']]\n", + "['rel_cancer', ['melanoma', 'lung', 'prostate', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['colon', 'pancreatic']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', 'liver']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['brain', 'prostate', 'lung', 'lymphoma']]\n", + "['rel_cancer', ['melanoma', 'lung', 'breast']]\n", + "['rel_cancer', ['breast', 'esophageal']]\n", + "['rel_cancer', ['breast', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['cervical', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['skin', 'breast', 'rectal']]\n", + "['rel_cancer', ['leukemia', 'breast', 'bladder']]\n", + "['rel_cancer', ['cervical', 'lung', 'colon', 'brain']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['melanoma', 'brain', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['bone', 'brain', 'colon', 'lung']]\n", + "['rel_cancer', ['prostate', 'myeloma', 'breast']]\n", + "['rel_cancer', ['prostate', 'thyroid']]\n", + "['rel_cancer', ['skin', 'prostate']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['myeloma', 'thyroid', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'bile duct']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['brain', 'lymphoma']]\n", + "['rel_cancer', ['leukemia', 'bladder']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'thyroid', 'kidney']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['kidney', 'breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['osteosarcoma', 'brain', 'bone']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['stomach', '']]\n", + "['rel_cancer', ['colon', 'sarcoma', 'breast']]\n", + "['rel_cancer', ['prostate', 'uterine']]\n", + "['rel_cancer', ['myeloma', 'esophageal', 'melanoma', 'cervical', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'pancreatic', 'clan', 'cervical', 'uterine', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'skin']]\n", + "['rel_cancer', ['skin', 'colon']]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_cancer', ['cholangiosarcoma', 'breast']]\n", + "['rel_cancer', ['stomach']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ibc', 'breast']]\n", + "['rel_cancer', ['tongue', 'leukemia', 'breast']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast', 'mole had cells but removed']]\n", + "['rel_cancer', ['skin', 'bone', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['uterine', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast', 'throat']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['that', 'lung', 'breast']]\n", + "['rel_cancer', ['myeloma', 'breast']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['breast', 'esophageal']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon', 'cervical']]\n", + "['rel_cancer', ['prostate', 'pancreatic']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['non hodgkins lymphonma', 'breast']]\n", + "['rel_cancer', ['jaw', 'prostate', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['brain', 'leukemia', 'breast']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['lung', 'lymph nodes', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'gastric']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['brain', 'leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['prostate', 'intestinal']]\n", + "['rel_cancer', ['melanoma', 'bladder']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['cervical', 'liver', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['lung', 'uterine']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['brain', 'lung']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['ovarian', 'carcinoid']]\n", + "['rel_cancer', ['hodgkinõs disease', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'basal cell carcinoma', 'breast']]\n", + "['rel_cancer', ['colon', 'lung', 'leukemia', 'breast', 'pancreas']]\n", + "['rel_cancer', ['skin', 'lung', 'bladder']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'colon']]\n", + "['rel_cancer', ['bladder', 'colon', 'pancreatic', 'prostate', 'breast']]\n", + "['rel_cancer', ['brain', 'lung']]\n", + "['rel_cancer', ['skin', 'prostate', 'colon']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['', 'renal cell carinoma']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'uterine', 'breast']]\n", + "['rel_cancer', ['testicular', 'prostate', 'melanoma']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['glioblastoma', 'lung']]\n", + "['rel_cancer', ['colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['prostate', 'colon', 'bladder']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'thyroid']]\n", + "['rel_cancer', ['melanoma', 'thyroid', 'breast', 'esophageal']]\n", + "['rel_cancer', ['leukemia', 'breast', 'bladder']]\n", + "['rel_cancer', ['melanoma']]\n", + "['rel_cancer', ['lung', 'breast', 'bladder']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['colon', 'esophageal']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'breast']]\n", + "['rel_cancer', ['break', 'lung']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'thyroid']]\n", + "['rel_cancer', ['bone', 'lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'thyroid']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['sinus', 'brain', 'colon']]\n", + "['rel_cancer', ['bone', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['colon', 'pancreatic']]\n", + "['rel_cancer', ['retinoblastoma', '']]\n", + "['rel_cancer', ['cervical', 'lung', 'kidney']]\n", + "['rel_cancer', [\"don'tknow\", 'breast']]\n", + "['rel_cancer', ['skin', 'rectal']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'bladder']]\n", + "['rel_cancer', ['lung', 'sarcoma', 'lymphoma']]\n", + "['rel_cancer', ['brain', 'hutchins']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['glioblastoma', 'lung', 'colon']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['', 'gastric']]\n", + "['rel_cancer', ['breast', 'tongue neck']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['', 'lymphoma', 'bladder', 'colon', 'breast']]\n", + "['rel_cancer', ['', 'brest']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'thyroid']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['testicular', 'colon']]\n", + "['rel_cancer', ['prostate', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'rental cell carcinoma']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['brain', 'bone', 'breast']]\n", + "['rel_cancer', ['skin', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['melanoma', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['brain', 'pancreatic']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['brain', 'lymphatic']]\n", + "['rel_cancer', ['colon', 'lymphoma']]\n", + "['rel_cancer', ['i', 'prostate', 'ovarian', 'bile duct']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'leukemia']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['something in her hip', 'colon', 'bladder']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['uterine', 'leukemia', 'breast']]\n", + "['rel_cancer', ['rectal', 'skin', 'colon', 'brain', 'breast']]\n", + "['rel_cancer', ['ovarian']]\n", + "['rel_cancer', ['brain', 'bone', 'liver', 'bladder']]\n", + "['rel_cancer', ['cervical', 'prostate']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['brain', 'throat', 'breast', 'oat cell']]\n", + "['rel_cancer', ['bone', 'prostate', 'pancreatic']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['lung', 'penile', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['stomach', 'prostate', 'breast', 'colin']]\n", + "['rel_cancer', ['skin', 'prostate', 'leukemia']]\n", + "['rel_cancer', ['esophageal', 'bladder']]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_cancer', ['lung', 'colon', 'leukemia', 'medullary thryoid']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'breast', 'colon']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['stomach', 'breast', 'adenocarcinoma of ampulla of vate']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast']]\n", + "['rel_cancer', ['myeloma', 'lung', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'bile duct']]\n", + "['rel_cancer', ['uterine', 'ovarian']]\n", + "['rel_cancer', ['squamous cell', 'myeloma', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'mesothelioma', 'not sure what kind', 'breast']]\n", + "['rel_cancer', ['lung', 'leukemia', 'colon']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'melanoma', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['leukemia', 'squamous carcinoma']]\n", + "['rel_cancer', ['lung', 'colon', 'bladder']]\n", + "['rel_cancer', ['', 'rectal']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['brain', 'bladder']]\n", + "['rel_cancer', ['colon', 'liver', 'thyroid', 'breast']]\n", + "['rel_cancer', ['breast', 'esophageal']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['endometrial', 'colon', 'ovarian']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['thyroid', 'leukemia']]\n", + "['rel_cancer', ['bone', 'skin', 'gym', 'prostate', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['endometrial', 'skin', 'stomach', 'prostate', 'cervical', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast', 'myxoma']]\n", + "['rel_cancer', ['color', 'prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'melanoma', 'prostate', 'lung']]\n", + "['rel_cancer', ['bladder', 'colon', 'esophageal', 'prostate', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'bladder', 'stomach', 'prostate', 'cervical', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'dis']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['prostate', 'thyroid', 'leukemia']]\n", + "['rel_cancer', ['mesothelioma', 'lymphoma', 'colon', 'melanoma', 'uterine']]\n", + "['rel_cancer', ['colon', 'leukemia', 'breast']]\n", + "['rel_cancer', ['testicular', 'breast', 'melanoma']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['', 'veteran']]\n", + "['rel_cancer', ['', 'sarcoma']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['brain']]\n", + "['rel_cancer', ['melanoma', 'colon']]\n", + "['rel_cancer', ['colon', 'small intestine']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['veteran', 'kidney']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['myeloma', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon', 'testicular', 'breast']]\n", + "['rel_cancer', ['leukemia', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['stomach', 'bladder']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['tongue', '', 'breast']]\n", + "['rel_cancer', ['melanoma', 'liver']]\n", + "['rel_cancer', ['skin', 'brain']]\n", + "['rel_cancer', ['brain', 'lung']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'sarcoma']]\n", + "['rel_cancer', ['', 'endometrial']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['melanoma', 'to me but it caused her death', 'colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'lung']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'lymph node']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'cant recall', 'liver', 'breast']]\n", + "['rel_cancer', ['prostate', 'myeloma']]\n", + "['rel_cancer', ['stage 0 ductal carcinoma in situ', 'endometrial', 'reproductive origin too far gone', 'lung', 'breast']]\n", + "['rel_cancer', ['melanoma']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'kidney']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['brain']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['renal', 'lung', 'lymphoma']]\n", + "['rel_cancer', ['', 'rotate']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['skin', 'prostate', 'colon', 'myeloma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['colon', 'melanoma', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['lung', 'breast', 'bladder']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['colon', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['liver', 'throat', 'rectal']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['stomach', 'lung', 'bladder']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['', 'infiltrating ductal']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast', 'throat']]\n", + "['rel_cancer', ['lung', 'lymphoma', 'bladder']]\n", + "['rel_cancer', ['skin', 'leukemia', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'brain', 'prostate', 'leukemia']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['lung', 'rectal']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['thyroid', 'oral', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['leukemia', 'lymphoma']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['stomach', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['prostate', 'lung', 'leukemia']]\n", + "['rel_cancer', ['lung', 'ling', 'breast']]\n", + "['rel_cancer', ['skin', 'stomach', 'esophageal', 'lung', 'kidney']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['stomach', 'lung', 'breast', 'throat']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['prostate', 'lung', 'colon']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'duodenum']]\n", + "['rel_cancer', ['skin', 'colon', 'kidney']]\n", + "['rel_cancer', ['pancreatic', 'leukemia', 'lymphoma']]\n", + "['rel_cancer', ['bike duct', 'liver']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['basal cell', 'brain', 'ovarian', 'lung', 'pituitary', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast', 'throat']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['throat', 'colon', 'myeloma', 'esophageal', 'lung']]\n", + "['rel_cancer', ['colon', 'leukemia']]\n", + "['rel_cancer', ['leukemia']]\n", + "['rel_cancer', ['oral', 'breast']]\n", + "['rel_cancer', ['myeloma', 'breast']]\n", + "['rel_cancer', ['stomach', 'myxoma']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['blood', 'breast']]\n", + "['rel_cancer', ['brain', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['myeloma', 'breast']]\n", + "['rel_cancer', ['esophagus', 'uterine', 'breast']]\n", + "['rel_cancer', ['skin', 'brain', 'breast']]\n", + "['rel_cancer', ['bone', 'sarcoma', 'lymphoma']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['unsure', 'lung', 'ovarian', 'lymphoma']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['', 'kidney']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['brain', 'colon', 'breast']]\n", + "['rel_cancer', ['melanoma', 'kidney', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['skin', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['melanoma', 'skin', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'endometrial']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_cancer', ['', 'renal cell carcinoma']]\n", + "['rel_cancer', ['prostate', 'colon', 'myeloma', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['uterine', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'mouth']]\n", + "['rel_cancer', ['prostate', 'thyroid']]\n", + "['rel_cancer', ['skin', 'brain']]\n", + "['rel_cancer', ['myeloma', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'breast', 'all organs terminal when found']]\n", + "['rel_cancer', ['melanoma', 'thyroid', 'breast']]\n", + "['rel_cancer', ['colon', 'basal cell']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'stomach', 'brain', 'leukemia', 'breast']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['skin', 'brain']]\n", + "['rel_cancer', ['', 'rectal']]\n", + "['rel_cancer', ['stomach', 'prostate', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['bone', 'bladder', 'melanoma', 'brain', 'lung']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['bone', 'lung']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['endometrial', 'lung', 'mugs', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung', 'lymphoma']]\n", + "['rel_cancer', ['brain', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['cervical', 'kidney', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'myeloma']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['lung', 'myeloma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['skin']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['bone', 'bladder']]\n", + "['rel_cancer', ['lung', 'mesothelioma']]\n", + "['rel_cancer', ['testicular', '']]\n", + "['rel_cancer', ['testicular', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'malt non hodgkins']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'vulgar']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['unsure', '']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['liver', 'lymphoma']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['testicular', 'melanoma']]\n", + "['rel_cancer', ['melanoma', 'lymphoma']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'throat']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lymphoma']]\n", + "['rel_cancer', ['lung', 'liver', 'bile duct']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['skin', 'tongue']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'im not sure']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['brain', 'prostate']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'cervix']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'throat']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'thyroid']]\n", + "['rel_cancer', ['skin', 'thyroid', 'leukemia']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['polycythemia vera', 'single cell carcinoma polycythemia vera']]\n", + "['rel_cancer', ['lung', 'myeloma', 'lymphoma', 'esophageal']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['brain', 'leukemia']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['skin', 'liver']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['', 'small cell carcinoma']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'nonhodgkins']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['all', 'lung', 'mouth', 'breast']]\n", + "['rel_cancer', ['prostate', 'esophageal']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['thyroid']]\n", + "['rel_cancer', ['testicular', 'prostate', 'breast']]\n", + "['rel_cancer', ['lung', 'thyroid']]\n", + "['rel_cancer', ['bone', 'lung']]\n", + "['rel_cancer', ['lung', 'bladder']]\n", + "['rel_cancer', ['bone', 'leukemia']]\n", + "['rel_cancer', ['lung', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['cervical', 'leukemia']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['skin']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['colon', 'uterine']]\n", + "['rel_cancer', ['skin', '', 'lung']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lariangial']]\n", + "['rel_cancer', ['melanoma', 'leukemia']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'throat']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['', 'myeloma']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['cervical', 'lymphoma']]\n", + "['rel_cancer', ['skin', 'liver', 'bladder']]\n", + "['rel_cancer', ['skin', 'lung', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'origin']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_cancer', ['giant cell', 'prostate']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['cervical', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['bone', 'squamous cell carcinoma nasal septum']]\n", + "['rel_cancer', ['prostate', 'lymphoma', 'throat']]\n", + "['rel_cancer', ['skin', 'thyroid']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'vaginal']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['stomach', 'skin', 'throat']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'squamous cell carcinoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['skin', 'lung', 'lymphoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'mouth']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'lymphoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['leukemia', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['', 'non squamous cell']]\n", + "['rel_cancer', ['melanoma', 'skin', 'leukemia']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['testicular', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['tonsil', 'lung']]\n", + "['rel_cancer', ['cervical', 'stomach', 'thyroid', 'mouth']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['lung', 'thyroid']]\n", + "['rel_cancer', ['', 'mesothelioma']]\n", + "['rel_cancer', ['', 'adrenal gland']]\n", + "['rel_cancer', ['lung', 'myxoma']]\n", + "['rel_cancer', ['melanoma', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'myeloma']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['melanoma', 'prostate']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'long']]\n", + "['rel_cancer', ['', 'throat']]\n", + "['rel_cancer', ['all', 'basal and squamous', 'neuroblastoma', 'throat']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['melanoma', 'lymphoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['bone', 'liver']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['polycythemia', 'bladder']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['polycythemia', 'bladder']]\n", + "['rel_cancer', ['', 'no small cell carcinoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'esophageal']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['melanoma', 'lung', 'cervical']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['', 'penile']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['testicular', '']]\n", + "['rel_cancer', ['', 'esophageal']]\n", + "['rel_cancer', ['cervical', 'skin', 'bladder']]\n", + "['rel_cancer', ['melanoma', 'skin', 'leukemia']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['bone', 'liver', 'throat']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lymphatic']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['skin', 'thyroid']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'esophageal']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'mesothelioma']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'appendiceal']]\n", + "['rel_cancer', ['skin', 'ovarian']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['skin', 'lung', 'throat']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lymph node']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "Wall time: 1min 32s\n" + ] + } + ], + "source": [ + "%%time\n", + "R = []\n", + "relCancerPoss = [\"bile duct\", \"bladder\", \"bone\", \"brain\", \"breast\", \"cervical\", \"colon\", \"colorectal\", \"endometrial\", \n", + " \"esophageal\", \"kidney\", \"leukemia\", \"liver\", \"lung\", \"lymphoma\", \"melanoma\", \"mesothelioma\", \"mouth\", \n", + " \"myeloma\", \"non hodgkins lymphoma\", \"ovarian\", \"pancreas\", \"pancreatic\", \"prostate\", \"prostrate\", \"rectal\",\n", + " \"skin\", \"stomach\", \"testicular\", \"throat\", \"thyroid\", \"uterine\"]\n", + "exclude = set(string.punctuation)\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_cancer\":\n", + " tst = []\n", + " #print(j[1])\n", + " for valr in j[1]:\n", + " point = valr.lower().replace(\"cancer\",\"\").replace(\"prostrate\",\"prostate\").replace(\"unknown\",\"\").replace(\"multiple\",\"\").replace(\"leukemia cml\", \"leukemia\").replace(\"tumor\",\"\").strip()\n", + " point = ''.join(ch for ch in point if ch not in exclude)\n", + " #print(point)\n", + " for i in relCancerPoss:\n", + " if i in point:\n", + " point = i \n", + " if not point in relCancerPoss and point != \"\":\n", + " spellChange = spell.correction(point)\n", + " if point != spellChange:\n", + " point = spellChange\n", + " tst.append(point)\n", + " if len(tst) > 1 and \"\" in tst:\n", + " tst.remove(\"\")\n", + " j[1] = list(set(tst))\n", + " print(j)\n", + " R.extend(j[1])\n", + "#relCancerPoss.append(\"\")" + ] + }, + { + "cell_type": "raw", + "id": "guilty-seller", + "metadata": {}, + "source": [ + "lstMain = [\"ovarian\", \"bladder\", \"breast\", \"liver\", \"\", \"colon\", \"uterine\", \"brain\", \"lung\", \"pancreatic\", \"lymphoma\", \n", + " \"skin\", \"leukemia\", \"prostate\", \"cervical\", \"stomach\", \"throat\", \"thyroid\", \"bone\", \"melanoma\", \"kidney\"]\n", + "pother = [\"squamous cell carcinoa\", \"i\"]\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_cancer\":\n", + " for valr in j[1]:\n", + " if not valr in lstMain and not valr in pother:\n", + " print(j[1], valr)\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_cancer\":\n", + " for valr in j[1]:\n", + " if valr == \"prostae\":\n", + " print(j[1], valr)\n" + ] + }, + { + "cell_type": "raw", + "id": "express-technical", + "metadata": {}, + "source": [ + "r=0\n", + "for key, value in Counter(R).items():\n", + " if value > 5:\n", + " print(key + \"\\t\" + str(value))\n", + " else:\n", + " r+=1" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "flush-angle", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_cancer', ['squamous cell carcinoa', 'bladder', 'ovarian', 'liver', 'leukemia', 'breast']]\n", + "['rel_cancer', ['squamous cell carcinoa', 'bladder', 'ovarian', 'liver', 'leukemia', 'breast']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['colon', 'uterine']]\n", + "['rel_cancer', ['prostate', 'lymphoma']]\n", + "['rel_cancer', ['brain', 'colon', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'bladder', 'pancreatic', 'lung', 'breast']]\n", + "['rel_cancer', ['skin', 'lung', 'breast']]\n", + "['rel_cancer', ['colon', 'uterine']]\n", + "['rel_cancer', ['colon', 'leukemia', 'salivary gland']]\n", + "['rel_cancer', ['larynxtongue', 'skin', 'colon', 'tonsil', 'brain', 'breast']]\n", + "['rel_cancer', ['prostate', 'squamous cell carcinoma', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['breast', 'bile duct']]\n", + "['rel_cancer', ['lung', 'adenocarcinoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['cervical', 'uterine', 'breast']]\n", + "['rel_cancer', ['', 'throat', 'stomach', 'colon', 'blood', 'not sure what kind of she had', 'brain', 'ovarian', 'cervical', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['preous polyps', 'neuro blastoma on adrenal gland', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['skin', 'colon', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'lymphoma', 'colon', 'lung', 'pancreas']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast']]\n", + "['rel_cancer', ['cervical', 'pancreatic']]\n", + "['rel_cancer', ['pancreatic', 'thyroid']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['grandmother', 'cousin']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'uterus']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['lymphoma', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['lung', 'pancreatic', 'sumerian']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['stomach', 'bone', 'lung', 'pancreatic']]\n", + "['rel_cancer', ['pancreatic']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['esophagus', 'pancreatic']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'lung', 'breast']]\n", + "['rel_cancer', ['brain', 'pancreas']]\n", + "['rel_cancer', ['colon', 'pancreatic']]\n", + "['rel_cancer', ['skin', 'breat', 'ovarian']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['colin', 'lung', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'pancreatic', 'melanoma', 'brain', 'prostate', 'nasal', 'lung', 'breast']]\n", + "['rel_cancer', ['testicular', 'breast']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['lung', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'ovarian']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'breast']]\n", + "['rel_cancer', ['mesothelioma', 'throat', 'prostate', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'pancreatic', 'breast', 'colon']]\n", + "['rel_cancer', ['melanoma', 'uterine']]\n", + "['rel_cancer', ['testicular', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'leukemia', 'cervical']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['kidney', 'colon', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['bone', 'endometrial', 'rectal', 'skin', 'prostate', 'thyroid', 'breast']]\n", + "['rel_cancer', ['stomach', 'ovarian']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['eye', 'colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['ovarian']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['bone', 'colon', 'thyroid', 'breast']]\n", + "['rel_cancer', ['testicular', 'prostate', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'cervical', 'meds', 'leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'esophageal']]\n", + "['rel_cancer', ['colon', 'eye']]\n", + "['rel_cancer', ['basil cell carcinoma', 'breast', 'basil cell carcinoma', 'kidney', 'renal cell carcinoma']]\n", + "['rel_cancer', ['skin', 'colon', 'ovarian', 'breast']]\n", + "['rel_cancer', ['oral sarcoma', 'lung', 'breast', 'melanoma']]\n", + "['rel_cancer', ['lymphoma', 'bladder', 'stomach', 'colon', 'breat', 'stonach esophagus', 'lung']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['brain', 'colon', 'ovarian', 'lung']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast', 'ampullary']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['stomach', 'colon', 'pancreatic', 'lung', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon', 'myeloma', 'prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'ovarian', 'breast']]\n", + "['rel_cancer', ['bone', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'brain', 'ovarian', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['cervical', 'pancreatic', 'skin', 'bladder']]\n", + "['rel_cancer', ['prostate', 'ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['stomach', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['colon', 'pancreatic']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['melanoma', 'lung', 'colon', 'breast']]\n", + "['rel_cancer', ['uterine', 'breast', 'rectal']]\n", + "['rel_cancer', ['', 'i', 'e', 'u', 'a']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['melanoma', 'ovarian', 'breast', 'cervical']]\n", + "['rel_cancer', ['melanoma', 'ovarian', 'pancreatic']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'ovarian']]\n", + "['rel_cancer', ['skin', 'colon', 'breast']]\n", + "['rel_cancer', ['cervical', 'endometrial', 'ovarian', 'breast']]\n", + "['rel_cancer', ['uterine', 'ovarian']]\n", + "['rel_cancer', ['pancreatic', 'thyroid']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['sarcoma on rib', 'breast']]\n", + "['rel_cancer', ['lung', 'kidney']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['throat', 'rectal', 'skin', 'prostate', 'breast']]\n", + "['rel_cancer', ['bone', 'stomach', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['lung', 'ovarian']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lymph', 'pancreas', 'liver', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'lung', 'breast', 'pancreas']]\n", + "['rel_cancer', ['brain', 'lung', 'ovarian', 'pancreatic']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['', 'i', 'e', 'a', 'o']]\n", + "['rel_cancer', ['skin', 'colon', 'breast', 'pancreas']]\n", + "['rel_cancer', ['brain', 'ovarian']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['ovarian', 'liver']]\n", + "['rel_cancer', ['skin', 'lung', 'colon', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['bone', 'prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'adult age lukemia', 'breast']]\n", + "['rel_cancer', ['braca 1 positive', 'colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['kidney', 'lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['skin', 'heart', 'breast']]\n", + "['rel_cancer', ['melanoma', 'merkel cell carcinoma', 'breast']]\n", + "['rel_cancer', ['bone', 'breast', 'ovarian', 'lung', 'unsure of type']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['leukemia', 'lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast', 'throat']]\n", + "['rel_cancer', ['lump on arm', 'throat', 'colon', 'ovarian', 'lung', 'breast']]\n", + "['rel_cancer', ['ovarian', 'thyroid', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['stomach', 'nasopharyngeal', 'thyroid', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['throat', 'brain', 'ovarian', 'liver', 'breast']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'leukemia']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['skin', 'brain', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['pancreas', 'liver', 'breast', 'kidney']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['skin', 'colon', 'leukemia', 'throat']]\n", + "['rel_cancer', ['stomach', 'colon', 'pancreatic', 'lymph', 'lung']]\n", + "['rel_cancer', ['cervical', 'lung', 'colon', 'liver']]\n", + "['rel_cancer', ['pancreatic', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['breat', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['endometrial', 'prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['cervical', 'colon', 'breast', 'melanoma']]\n", + "['rel_cancer', ['melanoma', 'lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['myeloma', 'breast', 'melanoma', 'prostate', 'lung', 'kidney']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['bone', 'renal', 'liver', 'pancreatitis', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast', 'throat']]\n", + "['rel_cancer', ['testicular', 'breast', 'throat']]\n", + "['rel_cancer', ['stomach', 'breast']]\n", + "['rel_cancer', ['colon', 'leukemia']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['stomach', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast', 'lymphoma']]\n", + "['rel_cancer', ['breast', 'rectal']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['bone', 'stomach', 'colon', 'pancreatic', 'brain', 'hodgikins disease', 'esophagus', 'lung', 'breast']]\n", + "['rel_cancer', ['bone', 'uterus']]\n", + "['rel_cancer', ['prostate', 'colon', 'ovarian']]\n", + "['rel_cancer', ['uterine', 'breast', 'esophageal']]\n", + "['rel_cancer', ['spinal', 'brain', 'colon']]\n", + "['rel_cancer', ['neuroblastoma', 'pancreatic', 'ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon', 'ovarian']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'ovarian']]\n", + "['rel_cancer', ['brain', 'ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'pancreas']]\n", + "['rel_cancer', ['uterine']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'kidney']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['sinus', 'kidney', 'breast', 'cervical']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['pancreatic', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'bone', 'blood', 'ovarian', 'cervical']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['bone', 'liver', 'cervix']]\n", + "['rel_cancer', ['skin', 'leukemia', 'breast']]\n", + "['rel_cancer', ['ovarian', 'thyroid']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['colon', 'blood', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['skin', 'uterine', 'colon', 'pancreatic']]\n", + "['rel_cancer', ['stomach', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['brain', 'bladder']]\n", + "['rel_cancer', ['skin', 'kidney', 'ovarian', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['testicular', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['kidney', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'colon']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'basalcell', 'colon']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['breast', 'kidney']]\n", + "['rel_cancer', ['stomach', 'lung', 'esophageal']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'colon', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'pancreatic', 'breast', 'colon']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['lung', 'colon', 'leukemia', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon']]\n", + "['rel_cancer', ['melanoma', 'colon', 'breast']]\n", + "['rel_cancer', ['stomach', 'melanoma', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['melanoma', 'ovarian']]\n", + "['rel_cancer', ['lymphoma', 'bladder']]\n", + "['rel_cancer', ['stomach', 'prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'leukemia']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'skin', 'cervical', 'lung', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['skin', 'lung', 'colon']]\n", + "['rel_cancer', ['abdominal origin', 'bladder', 'skin', 'pancreatic', 'lymph node', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian', 'lymphoma']]\n", + "['rel_cancer', ['prostate', 'colon', 'bladder']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['ovarian', 'urethra']]\n", + "['rel_cancer', ['veteran', 'breast']]\n", + "['rel_cancer', ['skin', 'breast', 'kidney']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['breast', 'uterus']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'ovarian', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['hip', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'pancreatic', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'uterus']]\n", + "['rel_cancer', ['', 'bladder', 'renal', 'testicular', 'breast']]\n", + "['rel_cancer', ['stomach', 'brain', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['cervical', 'bone', 'uterine']]\n", + "['rel_cancer', ['cervical', 'lung', 'ovarian', 'skin']]\n", + "['rel_cancer', ['throat', 'skin', 'pancreatic', 'prostate', 'breast']]\n", + "['rel_cancer', ['breast', 'rectal']]\n", + "['rel_cancer', ['melanoma', 'lung', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['prostate', 'uterine']]\n", + "['rel_cancer', ['bone', 'lung', 'breast']]\n", + "['rel_cancer', ['skin', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'uterine']]\n", + "['rel_cancer', ['ovarian', 'squamouse cell', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['ovarian', 'thyroid', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'uterine', 'laryngeal']]\n", + "['rel_cancer', ['bone', 'uterine', 'colon', 'ovarian']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['rectal', 'colon', 'melanoma', 'prostate', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['laryngeal', 'brain', 'prostate', 'lung', 'uterine', 'breast']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast', 'colon']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'breast', 'kidney']]\n", + "['rel_cancer', ['', 'rectal']]\n", + "['rel_cancer', ['bone', 'uterine', 'breast']]\n", + "['rel_cancer', ['bone', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'ovarian', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['positive for brach gene', 'prostate', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['skin', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['testicular', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'pancreatic']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['cervical', 'colon', 'breast']]\n", + "['rel_cancer', ['lung', 'prostate', 'small bowel', 'ovarian']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['neuroendocrine', 'lung', 'pancreatic', 'lymphoma']]\n", + "['rel_cancer', ['bone', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'liver', 'breast']]\n", + "['rel_cancer', ['testicular', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['brain', 'prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['colon', ' was in abdomen', 'prostate', 'uterine', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic', 'mouth', 'lymphoma']]\n", + "['rel_cancer', ['cervical', 'colon', 'breast']]\n", + "['rel_cancer', ['skin', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['colon', 'lymphoma', 'breast', 'thyroid']]\n", + "['rel_cancer', ['colon', 'ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'liver', 'breast']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'mouth', 'breast']]\n", + "['rel_cancer', ['brain', 'thyroid', 'breast']]\n", + "['rel_cancer', ['uterine', 'pancreatic']]\n", + "['rel_cancer', ['melanoma', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'melanoma', 'appendix', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['thyroid', 'breast', 'esophageal']]\n", + "['rel_cancer', ['lung', 'pancreas', 'breast', 'bladder']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast', 'colon']]\n", + "['rel_cancer', ['cervical', 'brain', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'breast', ' not sure what type']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'ovarian', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['cervical', 'breast', 'melanoma']]\n", + "['rel_cancer', ['tongue', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['neuroblastoma', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['endometrial', 'hodgkins disease', 'pancreatic', 'melanoma', 'prostate', 'kidney', 'breast']]\n", + "['rel_cancer', ['skin', 'brain', 'liver', 'breast']]\n", + "['rel_cancer', ['', 'i', 'e', 'a', 'o']]\n", + "['rel_cancer', ['skin', 'colon', 'throat']]\n", + "['rel_cancer', ['skin', 'prostate', 'ovarian']]\n", + "['rel_cancer', ['lymphoma', 'breast', 'germline']]\n", + "['rel_cancer', ['ovarian', 'thyroid', 'tongue']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['colon', 'liver', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic', 'leukemia', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'ovarian', 'lymphoma']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['lymphoma', 'colon', 'prostate', 'ovarian', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['colon', 'uterine', 'leukemia', 'breast']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['skin', 'leukemia', 'breast', \"alzheimer's\"]]\n", + "['rel_cancer', ['kidney', 'breast']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast', 'melanoma']]\n", + "['rel_cancer', ['colon', 'lymphoma', 'breast', 'thyroid']]\n", + "['rel_cancer', ['kidney', 'ovarian', 'breast']]\n", + "['rel_cancer', ['bone', 'lymphoma', 'colon', 'ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'bone', 'colon', 'breast']]\n", + "['rel_cancer', ['breast', 'lymphoma']]\n", + "['rel_cancer', ['colon', 'myeloma']]\n", + "['rel_cancer', ['colon', 'mouth', 'breast', 'bile duct']]\n", + "['rel_cancer', ['brain', 'leukemia', 'breast']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['skin', 'not sure of origin deceased from metastic', 'lung', 'breast']]\n", + "['rel_cancer', ['uterine', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['bone', 'stomach', 'ovarian', 'leukemia', 'breast', 'bile duct']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['uterine', 'colon', 'ovarian', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['brain', 'lung', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon']]\n", + "['rel_cancer', ['pancreatic']]\n", + "['rel_cancer', ['prostate', 'ovarian']]\n", + "['rel_cancer', ['melanoma', 'pancreatic']]\n", + "['rel_cancer', ['sumerian', 'breast', 'colon']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['spinal', 'prostate', 'mouth', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'ovarian', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'ovarian', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast', 'esophageal']]\n", + "['rel_cancer', ['melanoma', 'lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['pancreas', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['melanoma', 'ovarian']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'lymphoma']]\n", + "['rel_cancer', ['prostate', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'pancreatic']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['lung', 'ovarian']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'rectal']]\n", + "['rel_cancer', ['', 'pancreas']]\n", + "['rel_cancer', ['uterine', 'colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'prostate', 'liver', 'ovarian', 'lung']]\n", + "['rel_cancer', ['lung', 'pancreatic', 'bladder']]\n", + "['rel_cancer', ['liver', 'retinablastoma', 'lymphoma']]\n", + "['rel_cancer', ['colon', 'bladder']]\n", + "['rel_cancer', ['stomach', 'colon', 'breast']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['lung', 'breast', 'throat']]\n", + "['rel_cancer', ['lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['stomach', 'prostate']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['cervical', 'testicular', 'rectal']]\n", + "['rel_cancer', ['brain', 'thymoma', 'ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'brain', 'ovarian', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['colon', 'brain', 'ovarian', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['no but brca2', 'stomach', 'skin', 'colon', 'no but check2', 'ovarian', 'no paternal brca2', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['pancreatic']]\n", + "['rel_cancer', ['skin', 'colon', 'breast']]\n", + "['rel_cancer', ['breat', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['bladder', 'skin', 'liver', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'liver', 'breast', 'bladder']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['prostate', 'had genetic testing is positive for chek2 no', 'breast', 'chek2 and atm no but had a double mastectomy']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['cervical', 'bone', 'ovarian', 'melanoma']]\n", + "['rel_cancer', ['colon', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['testicular', 'colon', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'ovarian', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['stomach', 'premylenoma', 'lung', 'breast']]\n", + "['rel_cancer', ['cal', 'breast']]\n", + "['rel_cancer', ['bone', 'colon']]\n", + "['rel_cancer', ['cervical', 'colon']]\n", + "['rel_cancer', ['colon', 'bra']]\n", + "['rel_cancer', ['ovarian', 'lymphoma']]\n", + "['rel_cancer', ['prostate', 'colon', 'uterine']]\n", + "['rel_cancer', ['metastatic unsure where it started', 'lung', 'pancreatic']]\n", + "['rel_cancer', ['skin', 'colon', 'pancreatic', 'breast', 'kidney']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['melanoma', 'lung', 'leukemia']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['all', 'prostate', 'breast']]\n", + "['rel_cancer', ['preous polyps', 'polyps', 'breast']]\n", + "['rel_cancer', ['lung', 'throat', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['best other', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['cervical', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'brest', 'breast']]\n", + "['rel_cancer', ['endometrial', 'prostate', 'lung', 'ovarian']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['myoloma cause of death', 'colon']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['uterine', 'lung', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['bone', 'prostate', 'ovarian', 'lung', 'breast']]\n", + "['rel_cancer', ['ovarian', 'pancreatic', 'breast', 'notsure']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['brain', 'ovarian', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['many types', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['cervical', 'stomach', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['stomach', 'lung', 'breast', 'colon']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['breast', 'lymphoma', 'esophageal']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['prostate', 'uterine', 'lymphoma']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['bone', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['pharyngeal', 'ovarian', 'thyroid']]\n", + "['rel_cancer', ['stomach', 'hodgkins disease died at 51', 'not but nonmalignant on spine', 'thyroid', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'skin', 'colon', 'lung', 'uterine', 'breast']]\n", + "['rel_cancer', ['skin', 'kidney', 'ovarian', 'breast']]\n", + "['rel_cancer', ['lung', 'throat', 'pancreas']]\n", + "['rel_cancer', ['myeloma', 'pancreas', 'ovarian', 'throat']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['stomach', 'breast']]\n", + "['rel_cancer', ['brain', 'lung', 'liver', 'kidney']]\n", + "['rel_cancer', ['testicle', 'ovarian', 'breast', 'gastric']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['liver', 'lung', 'ovarian', 'breast']]\n", + "['rel_cancer', ['skin', 'renal cell carcinoma']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['cervical', 'colon', 'basal', 'breast']]\n", + "['rel_cancer', ['rare tcell', 'ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'leukemia', 'rectal']]\n", + "['rel_cancer', ['pancreatic', 'melanoma', 'prostate', 'osteosarcoma', 'lung', 'breast']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'kidney']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['vulgar', 'kidney', 'rectal']]\n", + "['rel_cancer', ['brain', 'melanomas', 'breast']]\n", + "['rel_cancer', ['adenocarcinoma', 'throat', 'origin', 'skin', 'myeloma', 'prostate', 'ovarian', 'liver', 'kidney', 'uterine', 'breast']]\n", + "['rel_cancer', ['cervical', 'colon', 'breast', 'pancreas']]\n", + "['rel_cancer', ['', 'omentum', 'eye']]\n", + "['rel_cancer', ['prostate', 'pancreatic']]\n", + "['rel_cancer', ['skin', 'nil', 'colon']]\n", + "['rel_cancer', ['colon', 'mouth', 'breast', 'bile duct']]\n", + "['rel_cancer', ['colon', 'mouth', 'breast', 'bile duct']]\n", + "['rel_cancer', ['lung', 'breast', 'hodgkins']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon', 'breast', 'bile duct']]\n", + "['rel_cancer', ['colon', 'liver', 'hodgkins', 'uterine', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['colon', 'pancreatic', 'liver', 'lung', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['', 'kidney']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['uterus', 'breast']]\n", + "['rel_cancer', ['bone', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['clan', 'oral']]\n", + "['rel_cancer', ['prostate']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'all']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['unsure', 'lung', 'colon']]\n", + "['rel_cancer', ['skin', 'ovarian', 'breast', 'melanoma']]\n", + "['rel_cancer', ['melanoma', 'colon']]\n", + "['rel_cancer', ['bone', 'bladder']]\n", + "['rel_cancer', ['testicular', 'brain', 'leukemia']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['lung', 'colon', 'breast', 'bile duct']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['brain', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['lung', 'thyroid', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['brain', 'prostate']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'glioblastoma']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['brain', 'myeloma']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['prostate']]\n", + "['rel_cancer', ['colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['prostate']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['uncertain', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['stomach', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['lymphoma', 'adult lukemea', 'plasma cytoma multma myaloma', 'prostate', 'brain', 'hodgkins']]\n", + "['rel_cancer', ['skin', 'brain', 'prostate', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'oral']]\n", + "['rel_cancer', ['paloma', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon']]\n", + "['rel_cancer', ['ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['brain', 'ovarian', 'leukemia']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['liver', 'leukemia', 'kidney']]\n", + "['rel_cancer', ['testicular', 'breast']]\n", + "['rel_cancer', ['uterine', 'breast']]\n", + "['rel_cancer', ['skin', 'breast', 'bladder']]\n", + "['rel_cancer', ['brain', ' was in for gall balder surgery and discovered eatenup with', 'breast']]\n", + "['rel_cancer', ['', 'esophageal']]\n", + "['rel_cancer', ['lung', 'bladder']]\n", + "['rel_cancer', ['prostate', 'lung', 'leukemia']]\n", + "['rel_cancer', ['', 'kidney']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['metatastic squamous cell', '']]\n", + "['rel_cancer', ['brain', 'mesothelioma', 'breast']]\n", + "['rel_cancer', ['stomach', 'lung']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'breast', 'colon']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'bone']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['breast', 'intestinal']]\n", + "['rel_cancer', ['melanoma', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'glioblastoma']]\n", + "['rel_cancer', ['cervical', 'lung', 'skin', 'bladder']]\n", + "['rel_cancer', ['prostate', 'colon', 'liver', 'breast']]\n", + "['rel_cancer', ['cervical', 'colon', 'breast']]\n", + "['rel_cancer', ['stomach', 'prostate', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['stomach', '']]\n", + "['rel_cancer', ['lung', 'breast', 'rectal']]\n", + "['rel_cancer', ['skin', 'lung', 'pancreatic']]\n", + "['rel_cancer', ['skin', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['muscular', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['lung', 'sumerian']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['stomach', 'leukemia', 'melanoma', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['brain', 'lung']]\n", + "['rel_cancer', ['skin', 'lung', 'colon', 'bladder']]\n", + "['rel_cancer', ['renal', 'liver']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['brain', 'rectal']]\n", + "['rel_cancer', ['stomach', 'colon', 'prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'bladder']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['skin', 'lung', 'breast', 'kidney']]\n", + "['rel_cancer', ['melanoma', 'brain', 'breast', 'throat']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['testicular', '']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'bone', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['stomach', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'leukemia', 'mouth']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['', 'small cell']]\n", + "['rel_cancer', ['stomach', '']]\n", + "['rel_cancer', ['', '2', 'i', 'e', 'u', 'a', 'o']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['carcinoma', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['skin', 'glaucoma', 'prostate', 'colon']]\n", + "['rel_cancer', ['gastric adenocarcinoma', 'bladder']]\n", + "['rel_cancer', ['stomach', 'lung', 'uterine', 'thyroid']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lupus', 'thyroid', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['stomach', '']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'bladder']]\n", + "['rel_cancer', ['lung', 'breast', 'kidney']]\n", + "['rel_cancer', ['stomach', 'prostate']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['stomach', 'lung']]\n", + "['rel_cancer', ['colon', 'prostate', 'testicular', 'leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['neck', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'mouth', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'brain', 'esophagus', 'lung', 'kidney']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['non hockins limphoma', 'colon']]\n", + "['rel_cancer', ['leukemia', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['brain', 'colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['cervical', 'ovarian', 'breast']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['colon', 'leukemia', 'throat']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['', 'rectal']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['merkle cell', 'breast']]\n", + "['rel_cancer', ['stomach', 'colon', 'pancreatic', 'plasma cell', 'prostate', 'breast']]\n", + "['rel_cancer', ['lung', 'mouth', 'breast', 'renal and gland']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['colon', 'leukemia', 'breast']]\n", + "['rel_cancer', ['cervical', 'bone']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['prostate', 'liver', 'lueikmea']]\n", + "['rel_cancer', ['lung', 'gist']]\n", + "['rel_cancer', ['skin', 'colon', 'leukemia', 'lymphoma']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['skin', 'leukemia', 'throat']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['cervical', 'bone', 'anal']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['bone', 'lung']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['leukemia', 'bladder']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['breast', 'various']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['stomach', 'myeloma', 'breast']]\n", + "['rel_cancer', ['colon', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'breast', 'colon']]\n", + "['rel_cancer', ['brain', 'stage four of primary']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'lung', 'colon', 'melanoma']]\n", + "['rel_cancer', ['prostate', 'pancreatic']]\n", + "['rel_cancer', ['prostate']]\n", + "['rel_cancer', ['breast', 'esophageal']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['prostate']]\n", + "['rel_cancer', ['melanoma', 'lung', 'prostate', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['colon', 'pancreatic']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', 'liver']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['brain', 'prostate', 'lung', 'lymphoma']]\n", + "['rel_cancer', ['melanoma', 'lung', 'breast']]\n", + "['rel_cancer', ['breast', 'esophageal']]\n", + "['rel_cancer', ['breast', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'colon', 'breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['cervical', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['skin', 'breast', 'rectal']]\n", + "['rel_cancer', ['leukemia', 'breast', 'bladder']]\n", + "['rel_cancer', ['cervical', 'lung', 'colon', 'brain']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['melanoma', 'brain', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['bone', 'brain', 'colon', 'lung']]\n", + "['rel_cancer', ['prostate', 'myeloma', 'breast']]\n", + "['rel_cancer', ['prostate', 'thyroid']]\n", + "['rel_cancer', ['skin', 'prostate']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['myeloma', 'thyroid', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'bile duct']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['brain', 'lymphoma']]\n", + "['rel_cancer', ['leukemia', 'bladder']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'thyroid', 'kidney']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['kidney', 'breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['osteosarcoma', 'brain', 'bone']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['stomach', '']]\n", + "['rel_cancer', ['colon', 'sarcoma', 'breast']]\n", + "['rel_cancer', ['prostate', 'uterine']]\n", + "['rel_cancer', ['myeloma', 'esophageal', 'melanoma', 'cervical', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'pancreatic', 'clan', 'cervical', 'uterine', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'skin']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['cholangiosarcoma', 'breast']]\n", + "['rel_cancer', ['stomach']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['ibc', 'breast']]\n", + "['rel_cancer', ['tongue', 'leukemia', 'breast']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast', 'mole had cells but removed']]\n", + "['rel_cancer', ['skin', 'bone', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['uterine', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast', 'throat']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['that', 'lung', 'breast']]\n", + "['rel_cancer', ['myeloma', 'breast']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['breast', 'esophageal']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon', 'cervical']]\n", + "['rel_cancer', ['prostate', 'pancreatic']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'ovarian', 'leukemia', 'breast']]\n", + "['rel_cancer', ['non hodgkins lymphonma', 'breast']]\n", + "['rel_cancer', ['jaw', 'prostate', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['brain', 'leukemia', 'breast']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['lung', 'lymph nodes', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'gastric']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['brain', 'leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['prostate', 'intestinal']]\n", + "['rel_cancer', ['melanoma', 'bladder']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['cervical', 'liver', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung']]\n", + "['rel_cancer', ['pancreatic', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['lung', 'uterine']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['brain', 'lung']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['ovarian', 'carcinoid']]\n", + "['rel_cancer', ['hodgkinõs disease', 'breast']]\n", + "['rel_cancer', ['pancreatic', 'basal cell carcinoma', 'breast']]\n", + "['rel_cancer', ['colon', 'lung', 'leukemia', 'breast', 'pancreas']]\n", + "['rel_cancer', ['skin', 'lung', 'bladder']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'colon']]\n", + "['rel_cancer', ['bladder', 'colon', 'pancreatic', 'prostate', 'breast']]\n", + "['rel_cancer', ['brain', 'lung']]\n", + "['rel_cancer', ['skin', 'prostate', 'colon']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['', 'renal cell carinoma']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['lung', 'colon', 'uterine', 'breast']]\n", + "['rel_cancer', ['testicular', 'prostate', 'melanoma']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['glioblastoma', 'lung']]\n", + "['rel_cancer', ['colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['prostate', 'colon', 'bladder']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'pancreatic']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'thyroid']]\n", + "['rel_cancer', ['melanoma', 'thyroid', 'breast', 'esophageal']]\n", + "['rel_cancer', ['leukemia', 'breast', 'bladder']]\n", + "['rel_cancer', ['melanoma']]\n", + "['rel_cancer', ['lung', 'breast', 'bladder']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['colon', 'esophageal']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'breast']]\n", + "['rel_cancer', ['break', 'lung']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'thyroid']]\n", + "['rel_cancer', ['bone', 'lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'thyroid']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['sinus', 'brain', 'colon']]\n", + "['rel_cancer', ['bone', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['colon', 'pancreatic']]\n", + "['rel_cancer', ['retinoblastoma', '']]\n", + "['rel_cancer', ['cervical', 'lung', 'kidney']]\n", + "['rel_cancer', [\"don'tknow\", 'breast']]\n", + "['rel_cancer', ['skin', 'rectal']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'bladder']]\n", + "['rel_cancer', ['lung', 'sarcoma', 'lymphoma']]\n", + "['rel_cancer', ['brain', 'hutchins']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['glioblastoma', 'lung', 'colon']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['', 'gastric']]\n", + "['rel_cancer', ['breast', 'tongue neck']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['', 'lymphoma', 'bladder', 'colon', 'breast']]\n", + "['rel_cancer', ['', 'brest']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'thyroid']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['testicular', 'colon']]\n", + "['rel_cancer', ['prostate', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'rental cell carcinoma']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['brain', 'bone', 'breast']]\n", + "['rel_cancer', ['skin', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', 'lung', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['melanoma', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['brain', 'pancreatic']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['brain', 'lymphatic']]\n", + "['rel_cancer', ['colon', 'lymphoma']]\n", + "['rel_cancer', ['i', 'prostate', 'ovarian', 'bile duct']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['colon', 'leukemia']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['something in her hip', 'colon', 'bladder']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['uterine', 'leukemia', 'breast']]\n", + "['rel_cancer', ['rectal', 'skin', 'colon', 'brain', 'breast']]\n", + "['rel_cancer', ['ovarian']]\n", + "['rel_cancer', ['brain', 'bone', 'liver', 'bladder']]\n", + "['rel_cancer', ['cervical', 'prostate']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['brain', 'throat', 'breast', 'oat cell']]\n", + "['rel_cancer', ['bone', 'prostate', 'pancreatic']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['lung', 'penile', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['stomach', 'prostate', 'breast', 'colin']]\n", + "['rel_cancer', ['skin', 'prostate', 'leukemia']]\n", + "['rel_cancer', ['esophageal', 'bladder']]\n", + "['rel_cancer', ['lung', 'colon', 'leukemia', 'medullary thryoid']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'breast', 'colon']]\n", + "['rel_cancer', ['thyroid', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['stomach', 'breast', 'adenocarcinoma of ampulla of vate']]\n", + "['rel_cancer', ['cervical', 'prostate', 'breast']]\n", + "['rel_cancer', ['myeloma', 'lung', 'pancreatic', 'breast']]\n", + "['rel_cancer', ['', 'bile duct']]\n", + "['rel_cancer', ['uterine', 'ovarian']]\n", + "['rel_cancer', ['squamous cell', 'myeloma', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['colon', 'mesothelioma', 'not sure what kind', 'breast']]\n", + "['rel_cancer', ['lung', 'leukemia', 'colon']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'melanoma', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['leukemia', 'squamous carcinoma']]\n", + "['rel_cancer', ['lung', 'colon', 'bladder']]\n", + "['rel_cancer', ['', 'rectal']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['brain', 'bladder']]\n", + "['rel_cancer', ['colon', 'liver', 'thyroid', 'breast']]\n", + "['rel_cancer', ['breast', 'esophageal']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['endometrial', 'colon', 'ovarian']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['thyroid', 'leukemia']]\n", + "['rel_cancer', ['bone', 'skin', 'gym', 'prostate', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['endometrial', 'skin', 'stomach', 'prostate', 'cervical', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast', 'myxoma']]\n", + "['rel_cancer', ['color', 'prostate', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['skin', 'colon', 'melanoma', 'prostate', 'lung']]\n", + "['rel_cancer', ['bladder', 'colon', 'esophageal', 'prostate', 'kidney', 'lung', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'bladder', 'stomach', 'prostate', 'cervical', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'dis']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['prostate', 'thyroid', 'leukemia']]\n", + "['rel_cancer', ['mesothelioma', 'lymphoma', 'colon', 'melanoma', 'uterine']]\n", + "['rel_cancer', ['colon', 'leukemia', 'breast']]\n", + "['rel_cancer', ['testicular', 'breast', 'melanoma']]\n", + "['rel_cancer', ['skin', 'colon']]\n", + "['rel_cancer', ['', 'veteran']]\n", + "['rel_cancer', ['', 'sarcoma']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'breast']]\n", + "['rel_cancer', ['brain']]\n", + "['rel_cancer', ['melanoma', 'colon']]\n", + "['rel_cancer', ['colon', 'small intestine']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['veteran', 'kidney']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['myeloma', 'ovarian']]\n", + "['rel_cancer', ['ovarian', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['liver', 'breast']]\n", + "['rel_cancer', ['melanoma', 'colon', 'testicular', 'breast']]\n", + "['rel_cancer', ['leukemia', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['stomach', 'bladder']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['tongue', '', 'breast']]\n", + "['rel_cancer', ['melanoma', 'liver']]\n", + "['rel_cancer', ['skin', 'brain']]\n", + "['rel_cancer', ['brain', 'lung']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'sarcoma']]\n", + "['rel_cancer', ['', 'endometrial']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['melanoma', 'to me but it caused her death', 'colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'lung']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'lymph node']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'cant recall', 'liver', 'breast']]\n", + "['rel_cancer', ['prostate', 'myeloma']]\n", + "['rel_cancer', ['stage 0 ductal carcinoma in situ', 'endometrial', 'reproductive origin too far gone', 'lung', 'breast']]\n", + "['rel_cancer', ['melanoma']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'kidney']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['brain']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['renal', 'lung', 'lymphoma']]\n", + "['rel_cancer', ['', 'rotate']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['prostate', 'colon', 'breast']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['skin', 'prostate', 'colon', 'myeloma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['colon', 'melanoma', 'prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['lung', 'breast', 'bladder']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['colon', 'leukemia', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['liver', 'throat', 'rectal']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['stomach', 'lung', 'bladder']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['', 'uterine']]\n", + "['rel_cancer', ['', 'infiltrating ductal']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['thyroid', 'breast', 'throat']]\n", + "['rel_cancer', ['lung', 'lymphoma', 'bladder']]\n", + "['rel_cancer', ['skin', 'leukemia', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'brain', 'prostate', 'leukemia']]\n", + "['rel_cancer', ['brain', 'breast']]\n", + "['rel_cancer', ['lung', 'rectal']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['thyroid', 'oral', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['leukemia', 'lymphoma']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['stomach', 'breast']]\n", + "['rel_cancer', ['prostate', 'pancreatic']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['prostate', 'lung', 'leukemia']]\n", + "['rel_cancer', ['lung', 'ling', 'breast']]\n", + "['rel_cancer', ['skin', 'stomach', 'esophageal', 'lung', 'kidney']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['lung', 'lymphoma', 'breast']]\n", + "['rel_cancer', ['stomach', 'lung', 'breast', 'throat']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['lung', 'colon', 'breast', 'bladder']]\n", + "['rel_cancer', ['prostate', 'lung', 'colon']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'duodenum']]\n", + "['rel_cancer', ['skin', 'colon', 'kidney']]\n", + "['rel_cancer', ['pancreatic', 'leukemia', 'lymphoma']]\n", + "['rel_cancer', ['bike duct', 'liver']]\n", + "['rel_cancer', ['melanoma', 'prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['basal cell', 'brain', 'ovarian', 'lung', 'pituitary', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'breast', 'throat']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['throat', 'colon', 'myeloma', 'esophageal', 'lung']]\n", + "['rel_cancer', ['colon', 'leukemia']]\n", + "['rel_cancer', ['leukemia']]\n", + "['rel_cancer', ['oral', 'breast']]\n", + "['rel_cancer', ['myeloma', 'breast']]\n", + "['rel_cancer', ['stomach', 'myxoma']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['blood', 'breast']]\n", + "['rel_cancer', ['brain', 'colon']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['myeloma', 'breast']]\n", + "['rel_cancer', ['esophagus', 'uterine', 'breast']]\n", + "['rel_cancer', ['skin', 'brain', 'breast']]\n", + "['rel_cancer', ['bone', 'sarcoma', 'lymphoma']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['unsure', 'lung', 'ovarian', 'lymphoma']]\n", + "['rel_cancer', ['prostate', 'lung', 'breast']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['lung', 'colon']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['colon']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['', 'kidney']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['brain', 'colon', 'breast']]\n", + "['rel_cancer', ['melanoma', 'kidney', 'breast']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['cervical', 'breast']]\n", + "['rel_cancer', ['skin', 'lung', 'leukemia', 'breast']]\n", + "['rel_cancer', ['melanoma', 'skin', 'breast']]\n", + "['rel_cancer', ['', 'ovarian']]\n", + "['rel_cancer', ['', 'endometrial']]\n", + "['rel_cancer', ['lung', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'renal cell carcinoma']]\n", + "['rel_cancer', ['prostate', 'colon', 'myeloma', 'breast']]\n", + "['rel_cancer', ['prostate', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['uterine', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'mouth']]\n", + "['rel_cancer', ['prostate', 'thyroid']]\n", + "['rel_cancer', ['skin', 'brain']]\n", + "['rel_cancer', ['myeloma', 'breast']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['skin', 'prostate', 'leukemia', 'breast']]\n", + "['rel_cancer', ['melanoma', 'breast']]\n", + "['rel_cancer', ['lymphoma', 'breast']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['skin', 'breast', 'all organs terminal when found']]\n", + "['rel_cancer', ['melanoma', 'thyroid', 'breast']]\n", + "['rel_cancer', ['colon', 'basal cell']]\n", + "['rel_cancer', ['prostate', 'breast']]\n", + "['rel_cancer', ['skin', 'stomach', 'brain', 'leukemia', 'breast']]\n", + "['rel_cancer', ['breast', 'throat']]\n", + "['rel_cancer', ['skin', 'brain']]\n", + "['rel_cancer', ['', 'rectal']]\n", + "['rel_cancer', ['stomach', 'prostate', 'pancreatic']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['bone', 'bladder', 'melanoma', 'brain', 'lung']]\n", + "['rel_cancer', ['breast']]\n", + "['rel_cancer', ['bone', 'lung']]\n", + "['rel_cancer', ['breast', 'bladder']]\n", + "['rel_cancer', ['endometrial', 'lung', 'mugs', 'colon']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['prostate', 'lung', 'lymphoma']]\n", + "['rel_cancer', ['brain', 'lung', 'breast']]\n", + "['rel_cancer', ['', 'colon']]\n", + "['rel_cancer', ['leukemia', 'breast']]\n", + "['rel_cancer', ['cervical', 'kidney', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'myeloma']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['lung', 'myeloma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['skin']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['bone', 'bladder']]\n", + "['rel_cancer', ['lung', 'mesothelioma']]\n", + "['rel_cancer', ['testicular', '']]\n", + "['rel_cancer', ['testicular', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'bone']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'malt non hodgkins']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'vulgar']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['unsure', '']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['liver', 'lymphoma']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['testicular', 'melanoma']]\n", + "['rel_cancer', ['melanoma', 'lymphoma']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'throat']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lymphoma']]\n", + "['rel_cancer', ['lung', 'liver', 'bile duct']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['skin', 'tongue']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'im not sure']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['brain', 'prostate']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'cervix']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'throat']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'thyroid']]\n", + "['rel_cancer', ['skin', 'thyroid', 'leukemia']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['polycythemia vera', 'single cell carcinoma polycythemia vera']]\n", + "['rel_cancer', ['lung', 'myeloma', 'lymphoma', 'esophageal']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['brain', 'leukemia']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['skin', 'liver']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['', 'small cell carcinoma']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'nonhodgkins']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['all', 'lung', 'mouth', 'breast']]\n", + "['rel_cancer', ['prostate', 'esophageal']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['thyroid']]\n", + "['rel_cancer', ['testicular', 'prostate', 'breast']]\n", + "['rel_cancer', ['lung', 'thyroid']]\n", + "['rel_cancer', ['bone', 'lung']]\n", + "['rel_cancer', ['lung', 'bladder']]\n", + "['rel_cancer', ['bone', 'leukemia']]\n", + "['rel_cancer', ['lung', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['cervical', 'leukemia']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['skin']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['colon', 'uterine']]\n", + "['rel_cancer', ['skin', '', 'lung']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lariangial']]\n", + "['rel_cancer', ['melanoma', 'leukemia']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'throat']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['', 'myeloma']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['cervical', 'lymphoma']]\n", + "['rel_cancer', ['skin', 'liver', 'bladder']]\n", + "['rel_cancer', ['skin', 'lung', 'lymphoma']]\n", + "['rel_cancer', ['lung', 'origin']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['giant cell', 'prostate']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['colon', 'breast']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['cervical', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['bone', 'squamous cell carcinoma nasal septum']]\n", + "['rel_cancer', ['prostate', 'lymphoma', 'throat']]\n", + "['rel_cancer', ['skin', 'thyroid']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'vaginal']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['stomach', 'skin', 'throat']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'squamous cell carcinoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['skin', 'lung', 'lymphoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'mouth']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['lung', 'lymphoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['leukemia', 'breast', 'lymphoma']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['', 'non squamous cell']]\n", + "['rel_cancer', ['melanoma', 'skin', 'leukemia']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['testicular', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['tonsil', 'lung']]\n", + "['rel_cancer', ['cervical', 'stomach', 'thyroid', 'mouth']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['lung', 'thyroid']]\n", + "['rel_cancer', ['', 'mesothelioma']]\n", + "['rel_cancer', ['', 'adrenal gland']]\n", + "['rel_cancer', ['lung', 'myxoma']]\n", + "['rel_cancer', ['melanoma', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'myeloma']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'leukemia']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['melanoma', 'prostate']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'liver']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'long']]\n", + "['rel_cancer', ['', 'throat']]\n", + "['rel_cancer', ['all', 'basal and squamous', 'neuroblastoma', 'throat']]\n", + "['rel_cancer', ['', 'breast']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['melanoma', 'lymphoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['bone', 'liver']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['polycythemia', 'bladder']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['polycythemia', 'bladder']]\n", + "['rel_cancer', ['', 'no small cell carcinoma']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'esophageal']]\n", + "['rel_cancer', ['skin', 'lung']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['melanoma', '']]\n", + "['rel_cancer', ['melanoma', 'lung', 'cervical']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['', 'penile']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['testicular', '']]\n", + "['rel_cancer', ['', 'esophageal']]\n", + "['rel_cancer', ['cervical', 'skin', 'bladder']]\n", + "['rel_cancer', ['melanoma', 'skin', 'leukemia']]\n", + "['rel_cancer', ['', 'lymphoma']]\n", + "['rel_cancer', ['', 'bladder']]\n", + "['rel_cancer', ['bone', 'liver', 'throat']]\n", + "['rel_cancer', ['lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lymphatic']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['lung', 'leukemia']]\n", + "['rel_cancer', ['', 'thyroid']]\n", + "['rel_cancer', ['skin', 'thyroid']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['', 'esophageal']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'mesothelioma']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['', 'prostate']]\n", + "['rel_cancer', ['skin', '']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'appendiceal']]\n", + "['rel_cancer', ['skin', 'ovarian']]\n", + "['rel_cancer', ['cervical', '']]\n", + "['rel_cancer', ['skin', 'lung', 'throat']]\n", + "['rel_cancer', ['', 'lung']]\n", + "['rel_cancer', ['', 'brain']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'lymph node']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['']]\n", + "['rel_cancer', ['', 'ovarian']]\n" + ] + } + ], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_cancer\":\n", + " print(j)" + ] + }, + { + "cell_type": "markdown", + "id": "straight-davis", + "metadata": {}, + "source": [ + "### ```rel_age```" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "inner-polish", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: 55 75\n", + "Deleting: 10 month\n", + "['rel_age', ['', '', '']]\n", + "Deleting: 60õ\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: 52 82\n", + "Deleting: 41 85\n", + "['rel_age', ['', '', '']]\n", + "Deleting: 75 82\n", + "['rel_age', ['', '', '', '', '', '']]\n", + "Deleting: 56 40\n", + "['rel_age', ['', '', '']]\n", + "Deleting: a little either 30 or in her 50\n", + "Deleting: 50 or 60\n", + "Deleting: 60 or older\n", + "Deleting: 40 50\n", + "Deleting: 60 70\n", + "['rel_age', ['?', '?', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "Deleting: nown\n", + "Deleting: na\n", + "['rel_age', ['n/a', '', '']]\n", + "Deleting: 59 44\n", + "['rel_age', ['59, 44', '', '']]\n", + "['rel_age', ['', '', '', '', '', '', '']]\n", + "Deleting: 60õ\n", + "['rel_age', ['?', '?', '?']]\n", + "Deleting: na\n", + "Deleting: nown\n", + "Deleting: na\n", + "Deleting: na\n", + "Deleting: 28 59\n", + "Deleting: 50 60\n", + "Deleting: 40 50\n", + "['rel_age', ['', '', '']]\n", + "Deleting: na\n", + "['rel_age', ['unknown', 'unknown', '']]\n", + "['rel_age', ['?', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: 60õ\n", + "Deleting: 80õ\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '', '', '', '', '', '']]\n", + "['rel_age', ['', '', '', '', '']]\n", + "Deleting: nown\n", + "Deleting: nown\n", + "Deleting: nown\n", + "Deleting: nown\n", + "['rel_age', ['Unknown ', 'Unknown ', 'Unknown ']]\n", + "Deleting: 50 76\n", + "Deleting: na\n", + "Deleting: 44 67\n", + "Deleting: 60 83\n", + "Deleting: 65 67\n", + "Deleting: 45 76 87\n", + "Deleting: 50 60 70\n", + "Deleting: 45 54\n", + "['rel_age', ['', '', '']]\n", + "Deleting: 6mo\n", + "['rel_age', ['', '', '', '']]\n", + "['rel_age', ['', '', '', '']]\n", + "Deleting: own\n", + "Deleting: nown\n", + "Deleting: nown\n", + "Deleting: 50 and 60\n", + "Deleting: 40õ\n", + "['rel_age', ['', '', '', '']]\n", + "Deleting: 4050h\n", + "Deleting: nown\n", + "['rel_age', ['?', '?', '?']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "Deleting: nown\n", + "Deleting: nown\n", + "Deleting: nown\n", + "Deleting: mid 60õ\n", + "Deleting: late 20 or early 30\n", + "['rel_age', ['?', 'Late 20s or early 30s', '']]\n", + "Deleting: 75 68\n", + "Deleting: 61 76\n", + "['rel_age', ['', '', '', '']]\n", + "Deleting: 57 90\n", + "Deleting: 55 89\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '', '']]\n", + "['rel_age', ['', '', '', '', '']]\n", + "Deleting: mid60\n", + "['rel_age', ['mid-60s', '', '']]\n", + "['rel_age', ['', '', '', '', '', '']]\n", + "['rel_age', ['', '', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['?', '?', '']]\n", + "['rel_age', ['', '', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '', '']]\n", + "['rel_age', ['', '', '', '', '']]\n", + "['rel_age', ['', '', '', '', '']]\n", + "Deleting: na\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "Deleting: nown\n", + "Deleting: nown\n", + "Deleting: nown\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '', '']]\n", + "['rel_age', ['', '', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "Deleting: nown\n", + "['rel_age', ['', '', '']]\n", + "Deleting: 9yr old\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['?', '', '']]\n", + "Deleting: 52 and 16\n", + "Deleting: nown\n", + "['rel_age', ['Unknown', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['unknown', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '', '', '']]\n", + "Deleting: un\n", + "['rel_age', ['un', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: cl\n", + "['rel_age', ['Cl', '', '']]\n", + "Deleting: 30 89\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "Deleting: nown\n", + "Deleting: approx 40\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['?', '?', '?']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "['rel_age', ['Unknown ', '', '']]\n", + "['rel_age', ['', '', '', '', '']]\n", + "['rel_age', ['', '', '', '', '']]\n", + "Deleting: nown\n", + "['rel_age', ['Unknown ', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['?', '?', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "Deleting: nown\n", + "['rel_age', ['unknown', 'unknown', 'Unknown', 'Unknown']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: na\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "Deleting: nown\n", + "['rel_age', ['Unknown ', 'Unknown ', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['?', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "Deleting: nown\n", + "Deleting: nown\n", + "['rel_age', ['Unknown', 'Unknown', 'Unknown']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: 40õ\n", + "['rel_age', ['40Õs', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['?', '?', '?', '?']]\n", + "['rel_age', ['?', '?', '?']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: ukwn\n", + "['rel_age', ['unk', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: 50õ\n", + "Deleting: 20õ\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "['rel_age', ['unknown', 'Unknown', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: uk\n", + "Deleting: uk\n", + "Deleting: uk\n", + "['rel_age', ['UK', 'UK', 'UK']]\n", + "Deleting: nown\n", + "['rel_age', ['', '', '', '', '', '', '', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '', '', '', '', '']]\n", + "['rel_age', ['', '', '', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: 40s\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', [' ', '', '']]\n", + "['rel_age', ['?', '?', '']]\n", + "Deleting: nown\n", + "Deleting: nown\n", + "['rel_age', ['Unknown', 'Unknown', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['Unsure', '', '']]\n", + "['rel_age', ['Unk', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['unknown', 'unknown', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: na\n", + "Deleting: na\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "['rel_age', ['Unknown', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: dk\n", + "['rel_age', ['Dk', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: 222 mo\n", + "['rel_age', ['222 mos', '', '', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "Deleting: nown\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['?', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "['rel_age', ['', '', '']]\n", + "0\n" + ] + } + ], + "source": [ + "exclude = set(string.punctuation)\n", + "ctdelRel_AGE = 0\n", + "pointersToRemove = 0\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_age\":\n", + " newListAge = []\n", + " for val in j[1]:\n", + " valr = val.replace(\"unknown\", \"\").replace(\"?\", \"\").replace(\"late\", \"\").replace(\"ish\", \"\").replace(\"s\", \"\").replace(\"'\", \"\").replace(\"appx\", \"\").replace(\"approx.\", \"\").replace(\"~\", \"\").replace(\"Over\", \"\").strip()\n", + " valr = ''.join(ch for ch in valr if ch not in exclude)\n", + " try:\n", + " valr = valr.lower().strip().replace(\"n/a\",\"\").replace(\"not sure\",\"\").replace(\"not ure\",\"\").replace(\"non\",\"\").replace(\"unure\",\"\").replace(\"Ukwn\",\"\").replace(\"unk\",\"\").replace(\"unknown\",\"\").replace(\"Unkown\",\"\").replace(\"UK\",\"\")\n", + " except:\n", + " print(\"Error Check - \", valr)\n", + " raise Exception(\"Changing Text\")\n", + " if valr != \"\":\n", + " try:\n", + " newListAge.append(int(valr)) \n", + " except:\n", + " print(\"Deleting:\", valr)\n", + " if len(newListAge) > 3:\n", + " a,b,c = np.percentile(newListAge, [25, 50, 75])\n", + " j[1] = [int(a),int(b),int(c)]\n", + " elif len(newListAge) == 3:\n", + " j[1] = newListAge\n", + " elif len(newListAge) == 2:\n", + " j[1] = [newListAge[0], newListAge[1], 0] \n", + " elif len(newListAge) == 1:\n", + " j[1] = [newListAge[0], 0, 0] \n", + " else:\n", + " print(j)\n", + " j[1] = [0,0,0]\n", + " pointersToRemove+=1\n", + "print(ctdelRel_AGE)" + ] + }, + { + "cell_type": "markdown", + "id": "flying-plumbing", + "metadata": {}, + "source": [ + "### ```_method```\n", + "\n", + "Since this column is esentially useless, I will drop it" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "frozen-cloud", + "metadata": {}, + "outputs": [], + "source": [ + "#for i in convertArray:\n", + " #for j in i:\n", + " #if j[0] == \"_method\":\n", + " #print(j)" + ] + }, + { + "cell_type": "markdown", + "id": "conservative-pizza", + "metadata": {}, + "source": [ + "### ```other_cancer```\n", + "\n", + "Too few data points" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "quality-liver", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['other_cancer', 'No']\n", + "['other_cancer', 'Yes']\n", + "['other_cancer', 'No']\n", + "['other_cancer', 'No']\n", + "['other_cancer', 'Yes']\n", + "['other_cancer', 'Yes']\n", + "['other_cancer', 'No']\n", + "['other_cancer', 'No']\n", + "['other_cancer', 'No']\n", + "['other_cancer', 'No']\n", + "['other_cancer', 'No']\n", + "['other_cancer', 'Yes']\n" + ] + } + ], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"other_cancer\":\n", + " print(j)" + ] + }, + { + "cell_type": "markdown", + "id": "tribal-partner", + "metadata": {}, + "source": [ + "# Show Data" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "diverse-istanbul", + "metadata": {}, + "outputs": [], + "source": [ + "def conv2dLstTo1d(array):\n", + " r = []\n", + " for i in array:\n", + " if type(i) == list:\n", + " for j in i:\n", + " r.append(j)\n", + " else:\n", + " r.append(i)\n", + " return r" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "offshore-documentary", + "metadata": {}, + "outputs": [], + "source": [ + "display = []\n", + "titles = [\"Name\",\"Percentage\", \"Count\", \"Types\", \"Example 5 data\"]\n", + "lstOfAllData = []\n", + "total = 0\n", + "for txt in possible:\n", + " tempArrayTypes=[]\n", + " ctVal = 0\n", + " ctR = 0\n", + " for i in convertArray:\n", + " hasValue = False\n", + " for j in i:\n", + " if j[0] == txt:\n", + " hasValue = True\n", + " tempArrayTypes.append(j[1])\n", + " ctR+=1\n", + " if not hasValue: ctVal += 1\n", + " total+=1\n", + " display.append([txt, (ctVal/total)*100, ctR,len(set(conv2dLstTo1d(tempArrayTypes))), \n", + " list(Counter(conv2dLstTo1d(tempArrayTypes)).keys())[0:5]])\n", + " lstOfAllData.append([txt, list(Counter(conv2dLstTo1d(tempArrayTypes)).keys())])\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "hawaiian-scottish", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(display, columns = titles)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "hairy-hanging", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
NamePercentageCountTypesExample 5 data
0Pathogenic0.00000021812[False, True]
1Gene0.000000218126[No Gene, CDH1, BRCA2, CHEK2, RAD50]
2History_class0.00000021814[strong_personal, strong_family, not_strong, n...
3consent_approval9825.00000017882[yes, no]
4ethnicity0.000000218128[caucasian, hispanic, irish, european, america]
5cancer_dx66.66666721772[yes, no]
6cancer_dx_type0.000000218152[pre-cancer vulvar due to hpv, melanoma, breas...
7relationships27112.5000001211[[{\"\"relationship_type\"\"=>\"\"Sister\"\", \"\"cancer...
8cancer_dx_age0.000000218156[57, 32, 37, 55, 58]
9known_brca130.00000021683[unknown, yes, no]
10known_cancer1472.72727320192[yes, no]
11rel_relation100.000000216916[, mother, sister, father, aunt]
12rel_cancer92.3076922169218[squamous cell carcinoa, bladder, ovarian, liv...
13rel_age85.7142862169121[55, 64, 70, 0, 74]
14_method13900.000000961[patch]
15other_cancer13556.250000122[No, Yes]
\n", + "
" + ], + "text/plain": [ + " Name Percentage Count Types \\\n", + "0 Pathogenic 0.000000 2181 2 \n", + "1 Gene 0.000000 2181 26 \n", + "2 History_class 0.000000 2181 4 \n", + "3 consent_approval 9825.000000 1788 2 \n", + "4 ethnicity 0.000000 2181 28 \n", + "5 cancer_dx 66.666667 2177 2 \n", + "6 cancer_dx_type 0.000000 2181 52 \n", + "7 relationships 27112.500000 12 11 \n", + "8 cancer_dx_age 0.000000 2181 56 \n", + "9 known_brca 130.000000 2168 3 \n", + "10 known_cancer 1472.727273 2019 2 \n", + "11 rel_relation 100.000000 2169 16 \n", + "12 rel_cancer 92.307692 2169 218 \n", + "13 rel_age 85.714286 2169 121 \n", + "14 _method 13900.000000 96 1 \n", + "15 other_cancer 13556.250000 12 2 \n", + "\n", + " Example 5 data \n", + "0 [False, True] \n", + "1 [No Gene, CDH1, BRCA2, CHEK2, RAD50] \n", + "2 [strong_personal, strong_family, not_strong, n... \n", + "3 [yes, no] \n", + "4 [caucasian, hispanic, irish, european, america] \n", + "5 [yes, no] \n", + "6 [pre-cancer vulvar due to hpv, melanoma, breas... \n", + "7 [[{\"\"relationship_type\"\"=>\"\"Sister\"\", \"\"cancer... \n", + "8 [57, 32, 37, 55, 58] \n", + "9 [unknown, yes, no] \n", + "10 [yes, no] \n", + "11 [, mother, sister, father, aunt] \n", + "12 [squamous cell carcinoa, bladder, ovarian, liv... \n", + "13 [55, 64, 70, 0, 74] \n", + "14 [patch] \n", + "15 [No, Yes] " + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "multiple-following", + "metadata": {}, + "outputs": [], + "source": [ + "for i in pointsRemoved:\n", + " del convertArray[i[1]]" + ] + }, + { + "cell_type": "markdown", + "id": "prepared-moscow", + "metadata": {}, + "source": [ + "# Encoding" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "alike-sheep", + "metadata": {}, + "outputs": [], + "source": [ + "requiredTitles = ['Pathogenic','Gene','History_class','consent_approval','ethnicity','cancer_dx','cancer_dx_type',\n", + " 'relationships','cancer_dx_age','known_brca','known_cancer','rel_relation','rel_cancer','rel_age',\n", + " '_method','other_cancer']\n", + "finalData = []\n", + "for i in convertArray:\n", + " tempArray = i\n", + " titlesArrayTemp = []\n", + " for j in tempArray:\n", + " titlesArrayTemp.append(j[0])\n", + " for k in requiredTitles:\n", + " if not k in titlesArrayTemp:\n", + " if k == \"rel_age\":\n", + " tempArray.append([k,[0,0,0]])\n", + " #else:\n", + " #tempArray.append([k,\"-\"])\n", + " tempArray.sort()\n", + " finalData.append(tempArray)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "collaborative-night", + "metadata": {}, + "outputs": [], + "source": [ + "dfx = pd.DataFrame(convertArray)" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "id": "ideal-cleaning", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2181" + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(finalData)" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "distant-suite", + "metadata": {}, + "outputs": [], + "source": [ + "A = ['Gene','_method', 'relationships', 'cancer_dx_type']\n", + "finalDataRemoved = []\n", + "for i in finalData:\n", + " t = []\n", + " for j in i:\n", + " if not (j[0] in A):\n", + " t.append(j)\n", + " finalDataRemoved.append(t)" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "relative-portsmouth", + "metadata": {}, + "outputs": [], + "source": [ + "dfxx = pd.DataFrame(finalDataRemoved)" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "sexual-limitation", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[['History_class', 'strong_personal'],\n", + " ['Pathogenic', 'False'],\n", + " ['cancer_dx', 'yes'],\n", + " ['cancer_dx_age', 57],\n", + " ['consent_approval', 'yes'],\n", + " ['ethnicity', ['caucasian']],\n", + " ['known_brca', 'unknown'],\n", + " ['known_cancer', 'yes'],\n", + " ['rel_age', [55, 64, 70]],\n", + " ['rel_cancer',\n", + " ['squamous cell carcinoa',\n", + " 'bladder',\n", + " 'ovarian',\n", + " 'liver',\n", + " 'leukemia',\n", + " 'breast']],\n", + " ['rel_relation', ['', 'mother']]]" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "finalDataRemoved[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "id": "inner-helicopter", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing History_class:\t [['Cervical \"\"]'], ['History_class', 'strong_family'], ['Pathogenic', 'False'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['rel_age', [52, 40, 0]], ['rel_cancer', ['', 'i', 'e', 'a', 'o']], ['rel_relation', ['grandmother', 'mother', 'aunt']]]\n", + "Missing Pathogenic:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing History_class:\t [['European'], ['History_class', 'strong_family'], ['Pathogenic', 'False'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [64, 74, 80]], ['rel_cancer', ['prostate', 'pancreatic', 'mouth', 'lymphoma']], ['rel_relation', ['grandmother', 'uncle', 'father', 'grandfather']]]\n", + "Missing Pathogenic:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing Pathogenic:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing Pathogenic:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing Pathogenic:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing History_class:\t [['CHEK2,MUTYH\"\\tnone\\t\"consent_approval', 'yes'], ['History_class', 'none'], ['Pathogenic', 'False'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']]]\n", + "Missing Pathogenic:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing History_class:\t [['Caucasian'], ['History_class', 'none'], ['Pathogenic', 'False'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['asian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['', 'grandfather']]]\n", + "Missing Pathogenic:\t\n", + "\n", + "Missing cancer_dx:\t\n", + "\n", + "Missing cancer_dx_age:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n", + "Missing consent_approval:\t\n", + "\n", + "Missing ethnicity:\t\n", + "\n", + "Missing known_brca:\t\n", + "\n", + "Missing known_cancer:\t\n", + "\n", + "Missing rel_age:\t\n", + "\n", + "Missing rel_cancer:\t\n", + "\n", + "Missing rel_relation:\t\n", + "\n" + ] + } + ], + "source": [ + "ct = 0\n", + "finalDataCleanLength = [] \n", + "for i in finalDataRemoved:\n", + " i = sorted(i)\n", + " #print(i)\n", + " temp = i\n", + " skip = False\n", + " if i[0][0] != \"History_class\":\n", + " print(\"Missing History_class:\\t\",i)\n", + " skip = True\n", + " if i[1][0] != \"Pathogenic\":\n", + " print(\"Missing Pathogenic:\\t\")\n", + " temp.append(['Pathogenic', 'False'])\n", + " print(\"\")\n", + " if i[2][0] != \"cancer_dx\":\n", + " print(\"Missing cancer_dx:\\t\")\n", + " temp.append(['cancer_dx', '-'])\n", + " print(\"\")\n", + " if i[3][0] != \"cancer_dx_age\":\n", + " print(\"Missing cancer_dx_age:\\t\")\n", + " temp.append(['cancer_dx_age', ''])\n", + " print(\"\")\n", + " if i[4][0] != \"consent_approval\":\n", + " print(\"Missing consent_approval:\\t\")\n", + " temp.append(['consent_approval', '-'])\n", + " print(\"\")\n", + " if i[5][0] != \"ethnicity\":\n", + " print(\"Missing ethnicity:\\t\")\n", + " temp.append(['ethnicity', '-'])\n", + " print(\"\")\n", + " if i[6][0] != \"known_brca\":\n", + " print(\"Missing known_brca:\\t\")\n", + " temp.append(['known_brca', '-'])\n", + " print(\"\")\n", + " try:\n", + " if i[7][0] != \"known_cancer\":\n", + " print(\"Missing known_cancer:\\t\")\n", + " temp.append(['known_cancer', '-'])\n", + " print(\"\")\n", + " except:\n", + " print(len(i))\n", + " temp.append(['known_cancer', '-'])\n", + " try:\n", + " if i[8][0] != \"rel_age\":\n", + " print(\"Missing rel_age:\\t\")\n", + " temp.append(['known_cancer', [\"0\",\"0\",\"0\"]])\n", + " print(\"\")\n", + " except:\n", + " print(len(i))\n", + " temp.append(['known_cancer', [\"0\",\"0\",\"0\"]])\n", + " try:\n", + " if i[9][0] != \"rel_cancer\":\n", + " print(\"Missing rel_cancer:\\t\")\n", + " temp.append(['rel_cancer', '-'])\n", + " print(\"\")\n", + " except:\n", + " print(len(i))\n", + " temp.append(['rel_cancer', '-'])\n", + " try:\n", + " if i[10][0] != \"rel_relation\":\n", + " print(\"Missing rel_relation:\\t\")\n", + " temp.append(['rel_relation', '-'])\n", + " print(\"\")\n", + " except:\n", + " print(len(i))\n", + " temp.append(['rel_relation', '-'])\n", + " if not skip:\n", + " finalDataCleanLength.append(temp)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "waiting-bicycle", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "spread-alarm", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "reserved-terrain", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "charming-zoning", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "soviet-relevance", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "infinite-rugby", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 134, + "id": "molecular-metro", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[['History_class', 'strong_personal'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', 32], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_personal'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 37], ['ethnicity', ['hispanic']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [74, 60, 70]], ['rel_cancer', ['colon', 'uterine']], ['rel_relation', ['sister', 'father', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_personal'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 55], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [72, 0, 0]], ['rel_cancer', ['prostate', 'lymphoma']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_personal'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 36], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [60, 60, 70]], ['rel_cancer', ['colon', 'leukemia', 'salivary gland']], ['rel_relation', ['grandmother', 'uncle', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_personal'], ['Pathogenic', 'True'], ['cancer_dx', 'yes'], ['cancer_dx_age', 49], ['ethnicity', []], ['known_brca', 'unknown'], ['rel_age', [78, 79, 0]], ['rel_cancer', ['prostate', 'breast']], ['rel_relation', ['mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [82, 65, 0]], ['rel_cancer', ['pancreatic', 'breast']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'ovarian']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [25, 0, 0]], ['rel_cancer', ['', 'ovarian']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [41, 0, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['grandmother', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'black']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [55, 60, 0]], ['rel_cancer', ['pancreatic']], ['rel_relation', ['mother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'america', 'indian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [74, 0, 0]], ['rel_cancer', ['', 'ovarian']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'hispanic']], ['known_brca', 'yes'], ['known_cancer', 'yes'], ['rel_age', [40, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'european']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [84, 0, 0]], ['rel_cancer', ['', 'ovarian']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'no'], ['rel_age', [72, 70, 40]], ['rel_cancer', ['esophagus', 'pancreatic']], ['rel_relation', ['', 'mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'no'], ['rel_age', [29, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [56, 0, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['grandmother', 'mother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [38, 0, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [66, 68, 90]], ['rel_cancer', ['skin', 'lung', 'breast']], ['rel_relation', ['mother', 'grandfather', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [40, 57, 0]], ['rel_cancer', ['brain', 'pancreas']], ['rel_relation', ['grandfather', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [60, 62, 64]], ['rel_cancer', ['colon', 'pancreatic']], ['rel_relation', ['uncle', 'father', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [40, 0, 0]], ['rel_cancer', ['skin', 'breat', 'ovarian']], ['rel_relation', ['grandmother', 'father', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [51, 61, 64]], ['rel_cancer', ['breast']], ['rel_relation', ['sister', 'mother', 'aunt', 'daughter']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [64, 67, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['sister']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [61, 70, 0]], ['rel_cancer', ['ovarian', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 70, 60]], ['rel_cancer', ['colin', 'lung', 'breast']], ['rel_relation', ['grandmother', 'mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [53, 65, 75]], ['rel_cancer', ['lymphoma', 'pancreatic', 'melanoma', 'brain', 'prostate', 'nasal', 'lung', 'breast']], ['rel_relation', ['cousin', 'brother', 'aunt', 'mother', 'uncle', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [48, 26, 46]], ['rel_cancer', ['testicular', 'breast']], ['rel_relation', ['mother', 'brother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [36, 55, 0]], ['rel_cancer', ['lung', 'ovarian', 'breast']], ['rel_relation', ['mother', 'brother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [70, 40, 35]], ['rel_cancer', ['ovarian', 'breast']], ['rel_relation', ['grandmother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [45, 35, 55]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['cousin', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 60, 65]], ['rel_cancer', ['melanoma', 'colon', 'pancreatic']], ['rel_relation', ['grandmother', 'mother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [75, 45, 85]], ['rel_cancer', ['colon', 'ovarian']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [58, 60, 62]], ['rel_cancer', ['lung', 'pancreatic', 'breast']], ['rel_relation', ['grandmother', 'uncle', 'mother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [75, 50, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['prostate', 'ovarian']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [33, 80, 0]], ['rel_cancer', ['leukemia', 'breast']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 40, 50]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['grandmother', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [45, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['lung', 'ovarian']], ['rel_relation', ['grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [54, 46, 57]], ['rel_cancer', ['breast']], ['rel_relation', ['grandmother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['prostate', 'ovarian']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['', 'pancreatic']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 55, 63]], ['rel_cancer', ['melanoma', 'prostate', 'breast']], ['rel_relation', ['cousin', 'grandfather', 'grandmother', 'uncle', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [47, 72, 0]], ['rel_cancer', ['mesothelioma', 'throat', 'prostate', 'kidney', 'lung', 'breast']], ['rel_relation', ['aunt', 'grandfather', 'grandmother', 'uncle', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [45, 50, 58]], ['rel_cancer', ['lung', 'pancreatic', 'breast', 'colon']], ['rel_relation', ['mother', 'brother', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [27, 78, 0]], ['rel_cancer', ['melanoma', 'uterine']], ['rel_relation', ['grandmother', 'brother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [19, 36, 0]], ['rel_cancer', ['testicular', 'breast']], ['rel_relation', ['mother', 'brother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [46, 72, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['aunt', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [40, 50, 55]], ['rel_cancer', ['cervical', 'breast']], ['rel_relation', ['grandmother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [30, 67, 70]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [28, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [43, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [28, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'yes'], ['rel_age', [21, 67, 71]], ['rel_cancer', ['melanoma', 'lung', 'leukemia', 'cervical']], ['rel_relation', ['grandmother', 'brother', 'grandfather', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [38, 77, 89]], ['rel_cancer', ['colon', 'pancreatic', 'breast']], ['rel_relation', ['grandmother', 'uncle', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', 15], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 50, 50]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [59, 64, 69]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['grandmother', 'uncle', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [43, 68, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [45, 70, 0]], ['rel_cancer', ['pancreatic', 'breast']], ['rel_relation', ['mother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 45, 48]], ['rel_cancer', ['lung', 'colon', 'breast']], ['rel_relation', ['grandmother', 'uncle']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 66, 45]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['grandmother', 'mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [38, 45, 55]], ['rel_cancer', ['kidney', 'colon', 'breast']], ['rel_relation', ['grandmother', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [63, 0, 0]], ['rel_cancer', ['', 'ovarian']], ['rel_relation', ['', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['hispanic']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 62, 72]], ['rel_cancer', ['bone', 'endometrial', 'rectal', 'skin', 'prostate', 'thyroid', 'breast']], ['rel_relation', ['aunt', 'grandfather', 'great aunt', 'grandmother', 'uncle', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 72], ['ethnicity', ['german']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [84, 0, 0]], ['rel_cancer', ['stomach', 'ovarian']], ['rel_relation', ['uncle', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['rel_age', [40, 0, 0]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 70, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [69, 72, 75]], ['rel_cancer', ['eye', 'colon', 'breast']], ['rel_relation', ['uncle', 'mother', 'grandfather', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 74], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [51, 66, 76]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['uncle', 'mother', 'aunt', 'niece']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 31], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'no'], ['rel_age', [44, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'sister']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_cancer', 'yes'], ['rel_age', [79, 54, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['sister', 'grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'yes'], ['rel_age', [75, 0, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'yes'], ['rel_age', [62, 62, 64]], ['rel_cancer', ['colon', 'pancreatic', 'lymphoma', 'breast']], ['rel_relation', ['grandmother', 'uncle', 'mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'no'], ['rel_age', [54, 60, 0]], ['rel_cancer', ['ovarian']], ['rel_relation', ['mother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'no'], ['rel_age', [50, 50, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'no'], ['rel_age', [38, 42, 50]], ['rel_cancer', ['cervical', 'prostate', 'breast']], ['rel_relation', ['grandmother', 'aunt', 'father', 'cousin']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'no'], ['rel_age', [36, 68, 0]], ['rel_cancer', ['breast', 'throat']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [40, 40, 50]], ['rel_cancer', ['bone', 'colon', 'thyroid', 'breast']], ['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [77, 80, 55]], ['rel_cancer', ['testicular', 'prostate', 'ovarian']], ['rel_relation', ['mother', 'brother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [50, 50, 58]], ['rel_cancer', ['ovarian', 'cervical', 'meds', 'leukemia', 'breast']], ['rel_relation', ['', 'uncle', 'father', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [42, 70, 0]], ['rel_cancer', ['colon', 'esophageal']], ['rel_relation', ['cousin', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [85, 70, 0]], ['rel_cancer', ['colon', 'eye']], ['rel_relation', ['grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [49, 58, 66]], ['rel_cancer', ['basil cell carcinoma', 'breast', 'basil cell carcinoma', 'kidney', 'renal cell carcinoma']], ['rel_relation', ['sister', 'cousin', 'aunt', 'father', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [30, 47, 52]], ['rel_cancer', ['skin', 'colon', 'ovarian', 'breast']], ['rel_relation', ['', 'grandmother', 'uncle', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [45, 55, 67]], ['rel_cancer', ['oral sarcoma', 'lung', 'breast', 'melanoma']], ['rel_relation', ['grandmother', 'mother', 'grandfather', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [59, 65, 71]], ['rel_cancer', ['lymphoma', 'bladder', 'stomach', 'colon', 'breat', 'stonach esophagus', 'lung']], ['rel_relation', ['sister', 'cousin', 'aunt', 'grandfather', 'grandmother', 'uncle', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [47, 57, 63]], ['rel_cancer', ['prostate', 'lung', 'breast']], ['rel_relation', ['grandmother', 'mother', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [37, 50, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['mother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [67, 0, 0]], ['rel_cancer', ['', 'ovarian']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [57, 0, 0]], ['rel_cancer', ['brain', 'colon', 'ovarian', 'lung']], ['rel_relation', ['grandmother', 'grandfather', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [53, 66, 78]], ['rel_cancer', ['lung', 'colon']], ['rel_relation', ['grandmother', 'uncle', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [80, 70, 50]], ['rel_cancer', ['breast', 'bladder']], ['rel_relation', ['grandmother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [40, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [48, 25, 41]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['sister', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [64, 50, 89]], ['rel_cancer', ['pancreatic', 'breast']], ['rel_relation', ['grandmother', 'father', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'yes'], ['rel_age', [49, 56, 60]], ['rel_cancer', ['prostate', 'lung', 'breast', 'ampullary']], ['rel_relation', ['', 'great aunt', 'great uncle', 'great grandmother', 'father', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [33, 0, 0]], ['rel_cancer', ['', 'ovarian']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [40, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [45, 28, 0]], ['rel_cancer', ['prostate', 'ovarian']], ['rel_relation', ['sister', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [91, 45, 0]], ['rel_cancer', ['colon']], ['rel_relation', ['mother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [32, 40, 0]], ['rel_cancer', ['melanoma', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [42, 0, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['mother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['pancreatic', 'breast']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [67, 55, 0]], ['rel_cancer', ['pancreatic', 'breast']], ['rel_relation', ['aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [70, 60, 0]], ['rel_cancer', ['prostate', 'ovarian']], ['rel_relation', ['sister', 'cousin']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [58, 61, 62]], ['rel_cancer', ['colon', 'pancreatic', 'leukemia', 'breast']], ['rel_relation', ['grandmother', 'mother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['black']], ['known_brca', 'unknown'], ['rel_age', [77, 0, 0]], ['rel_cancer', ['', 'ovarian']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['black']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [45, 40, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 61, 75]], ['rel_cancer', ['stomach', 'colon', 'pancreatic', 'lung', 'breast']], ['rel_relation', ['cousin', 'brother', 'aunt', 'father', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [40, 45, 50]], ['rel_cancer', ['stomach', 'colon', 'myeloma', 'prostate', 'breast']], ['rel_relation', ['grandmother', 'uncle', 'father', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['rel_age', [32, 54, 53]], ['rel_cancer', ['skin', 'colon', 'ovarian', 'breast']], ['rel_relation', ['sister', 'grandmother', 'father', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['rel_age', [65, 70, 0]], ['rel_cancer', ['bone', 'colon']], ['rel_relation', ['', 'mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [45, 51, 55]], ['rel_cancer', ['breast']], ['rel_relation', ['sister', 'grandmother', 'mother', 'great grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [44, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['colon', 'brain', 'ovarian', 'lung', 'breast']], ['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'no'], ['known_cancer', 'yes'], ['rel_age', [50, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['basal cell skin\"\", \"\"prostate, basal cell skin cancer\"\", \"\"melanoma of vagina (rare)\"\", \"\"ovarian\"\", \"\"ovarian\"\", \"\"breast\"\", \"\"basal cell skin cancer\"\", \"\"stomach cancer\"\", \"\"breast cancer\"\", \"\"prostate\"\"]'], ['breast x 2 types'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian', 'italian', 'irish']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [57, 63, 75]], ['rel_cancer', ['', 'i', 'e', 'u', 'a']], ['rel_relation', ['', 'grandfather', 'grandmother', 'father', 'mother']], ['cancer_dx', '-'], ['cancer_dx_age', ''], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian', 'hispanic']], ['known_brca', 'unknown'], ['rel_age', [40, 60, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 52], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [50, 60, 67]], ['rel_cancer', ['bone', 'stomach', 'prostate', 'lung', 'breast']], ['rel_relation', ['', 'grandfather', 'grandmother', 'father', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 40], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [73, 83, 0]], ['rel_cancer', ['lung', 'ovarian']], ['rel_relation', ['mother', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_cancer', 'no'], ['rel_age', [31, 35, 51]], ['rel_cancer', ['lymphoma', 'breast']], ['rel_relation', ['', 'aunt']], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [40, 62, 0]], ['rel_cancer', ['ovarian', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [45, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [62, 67, 71]], ['rel_cancer', ['kidney', 'lung', 'ovarian', 'breast']], ['rel_relation', ['grandmother', 'aunt', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [50, 0, 0]], ['rel_cancer', ['brain', 'breast']], ['rel_relation', ['grandmother', 'great grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [70, 40, 62]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['grandmother', 'aunt', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['', 'ovarian']], ['rel_relation', ['', 'grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [52, 56, 79]], ['rel_cancer', ['colon', 'pancreatic', 'breast']], ['rel_relation', ['cousin', 'aunt', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [67, 72, 78]], ['rel_cancer', ['prostate', 'pancreatic', 'breast']], ['rel_relation', ['father', 'aunt', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [58, 67, 70]], ['rel_cancer', ['skin', 'heart', 'breast']], ['rel_relation', ['grandmother', 'aunt', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['rel_age', [66, 71, 75]], ['rel_cancer', ['stomach', 'brain', 'breast']], ['rel_relation', ['', 'sister', 'grandfather', 'father', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx_age', 58], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [72, 0, 0]], ['rel_cancer', ['', 'ovarian']], ['rel_relation', ['', 'mother']], ['cancer_dx', '-'], ['cancer_dx_age', ''], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_cancer', 'no'], ['rel_age', [27, 40, 50]], ['rel_cancer', ['cervical', 'lung', 'ovarian', 'skin']], ['rel_relation', ['mother', 'grandfather', 'father']], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [32, 52, 70]], ['rel_cancer', ['throat', 'skin', 'pancreatic', 'prostate', 'breast']], ['rel_relation', ['aunt', 'grandfather', 'grandmother', 'great grandmother', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['breast', 'rectal']], ['rel_relation', ['grandmother', 'aunt', 'great grandmother', 'great aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['hispanic']], ['known_brca', 'unknown'], ['rel_age', [26, 54, 28]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['uncle', 'mother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 41], ['consent_approval', 'yes'], ['ethnicity', ['european', 'caucasian', 'caucasian']], ['known_brca', 'unknown'], ['other_cancer', 'No'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['european', 'caucasian', 'caucasian']], ['known_brca', 'no'], ['other_cancer', 'Yes'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [58, 52, 65]], ['rel_cancer', ['cervical', 'colon', 'breast']], ['rel_relation', ['sister', 'mother', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [76, 42, 65]], ['rel_cancer', ['lung', 'prostate', 'small bowel', 'ovarian']], ['rel_relation', ['sister', 'grandmother', 'mother', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [69, 65, 0]], ['rel_cancer', ['colon']], ['rel_relation', ['uncle', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [4062, 75, 0]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 53], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [58, 64, 69]], ['rel_cancer', ['lung', 'pancreas', 'breast', 'bladder']], ['rel_relation', ['uncle', 'mother', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_cancer', 'no'], ['rel_age', [56, 60, 68]], ['rel_cancer', ['lung', 'breast', 'colon']], ['rel_relation', ['grandmother', 'uncle', 'grandfather']], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [55, 35, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['sister', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [40, 65, 80]], ['rel_cancer', ['cervical', 'breast', 'melanoma']], ['rel_relation', ['grandmother', 'mother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [57, 79, 0]], ['rel_cancer', ['tongue', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [46, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [50, 0, 0]], ['rel_cancer', ['neuroblastoma', 'breast']], ['rel_relation', ['', 'grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['stomach', 'colon', 'breast']], ['rel_relation', ['great grandfather', 'grandmother', 'great grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [42, 70, 0]], ['rel_cancer', ['colon', 'ovarian']], ['rel_relation', ['uncle', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['breast, bone, lymph nodes, liver, lung, pancreas, GI tract, bladder, ovarian\"\", \"\"Mesothelioma\"\", \"\"\"\"]'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [68, 65, 0]], ['rel_cancer', ['', 'i', 'e', 'a', 'o']], ['rel_relation', ['mother', 'grandfather']], ['cancer_dx', '-'], ['cancer_dx_age', ''], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', 46], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [75, 0, 0]], ['rel_cancer', ['colon', 'brain', 'ovarian', 'kidney', 'lung', 'breast']], ['rel_relation', ['uncle', 'father', 'grandfather', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', 46], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [75, 0, 0]], ['rel_cancer', ['colon', 'brain', 'ovarian', 'kidney', 'lung', 'breast']], ['rel_relation', ['uncle', 'father', 'grandfather', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['ovarian', 'breast']], ['rel_relation', ['grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [42, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['pancreatic']], ['rel_relation', ['great uncle', 'grandfather', 'great aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['black']], ['known_brca', 'unknown'], ['rel_age', [77, 0, 0]], ['rel_cancer', ['cervical', 'ovarian']], ['rel_relation', ['mother', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['asian']], ['known_brca', 'unknown'], ['rel_age', [46, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'sister']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['asian']], ['known_brca', 'unknown'], ['rel_age', [5070, 38, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['grandmother', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['rel_age', [54, 86, 55]], ['rel_cancer', ['prostate', 'breast']], ['rel_relation', ['grandmother', 'mother', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', []], ['rel_age', [46, 0, 0]], ['rel_cancer', ['', 'ovarian']], ['rel_relation', ['', 'aunt']], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', []], ['known_brca', 'unknown'], ['rel_age', [45, 62, 72]], ['rel_cancer', ['stomach', 'lung', 'breast', 'colon']], ['rel_relation', ['grandmother', 'mother', 'aunt', 'great aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [42, 47, 50]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['grandmother', 'uncle']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [63, 55, 57]], ['rel_cancer', ['pharyngeal', 'ovarian', 'thyroid']], ['rel_relation', ['uncle', 'father', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'yes'], ['rel_age', [37, 46, 50]], ['rel_cancer', ['stomach', 'hodgkins disease died at 51', 'not but nonmalignant on spine', 'thyroid', 'breast']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['rel_age', [59, 63, 66]], ['rel_cancer', ['lymphoma', 'skin', 'colon', 'lung', 'uterine', 'breast']], ['rel_relation', ['', 'cousin', 'brother', 'grandfather', 'grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'strong_family'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', 77], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_cancer', 'yes'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['lung', 'throat', 'pancreas']], ['rel_relation', ['', 'mother', 'father']], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'hispanic']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [64, 0, 0]], ['rel_cancer', ['', 'kidney']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'hispanic']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [80, 0, 0]], ['rel_cancer', ['', 'prostate']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'no'], ['rel_age', [58, 68, 55]], ['rel_cancer', ['prostate', 'breast']], ['rel_relation', ['sister', 'mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['', 'prostate']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['uterus', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['bone', 'prostate', 'lung', 'breast']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['ovarian', 'breast']], ['rel_relation', ['grandmother', 'great grandmother', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [30, 50, 0]], ['rel_cancer', ['melanoma', 'lung']], ['rel_relation', ['uncle', 'brother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [80, 75, 0]], ['rel_cancer', ['skin', 'colon']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [60, 62, 60]], ['rel_cancer', ['melanoma', 'breast']], ['rel_relation', ['grandmother', 'father', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 60, 0]], ['rel_cancer', ['clan', 'oral']], ['rel_relation', ['mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['rel_age', [50, 60, 0]], ['rel_cancer', ['prostate']], ['rel_relation', ['uncle', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [58, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [73, 0, 0]], ['rel_cancer', ['', 'all']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian', 'hispanic']], ['known_brca', 'unknown'], ['rel_age', [70, 55, 0]], ['rel_cancer', ['unsure', 'lung', 'colon']], ['rel_relation', ['great grandfather', 'grandmother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [58, 75, 0]], ['rel_cancer', ['melanoma', 'colon']], ['rel_relation', ['mother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [62, 69, 77]], ['rel_cancer', ['colon', 'breast', 'bladder']], ['rel_relation', ['sister', 'grandmother', 'mother', 'brother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [52, 56, 63]], ['rel_cancer', ['skin', 'brain', 'prostate', 'pancreatic']], ['rel_relation', ['', 'uncle', 'father', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['MSH6,CHEK2\"\\tnot_strong \\t\"consent_approval', 'yes'], ['Pathogenic', 'False'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 60, 39]], ['rel_cancer', ['colon', 'oral']], ['rel_relation', ['grandmother', 'mother', 'grandfather']], ['Pathogenic', 'False'], ['cancer_dx', '-'], ['cancer_dx_age', ''], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['black']], ['known_brca', 'unknown'], ['rel_age', [47, 55, 0]], ['rel_cancer', ['paloma', 'breast']], ['rel_relation', ['brother', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 60, 0]], ['rel_cancer', ['ovarian', 'leukemia', 'breast']], ['rel_relation', ['', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['skin', 'colon', 'breast', 'bladder']], ['rel_relation', ['aunt', 'grandfather', 'grandmother', 'father', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['america', 'indian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['testicular', 'breast']], ['rel_relation', ['grandmother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'hispanic']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [65, 75, 0]], ['rel_cancer', ['lung', 'bladder']], ['rel_relation', ['aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [81, 85, 50]], ['rel_cancer', ['prostate', 'lung', 'leukemia']], ['rel_relation', ['', 'grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'japanese']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 0, 0]], ['rel_cancer', ['', 'kidney']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'caucasian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [60, 65, 0]], ['rel_cancer', ['colon']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 63, 64]], ['rel_cancer', ['skin', 'colon']], ['rel_relation', ['uncle', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 54], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_cancer', 'no'], ['rel_age', [53, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'no'], ['rel_age', [76, 0, 0]], ['rel_cancer', ['metatastic squamous cell', '']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [65, 2, 79]], ['rel_cancer', ['brain', 'mesothelioma', 'breast']], ['rel_relation', ['grandmother', 'grandfather', 'cousin']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [80, 60, 0]], ['rel_cancer', ['stomach', 'lung']], ['rel_relation', ['grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [55, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [58, 56, 65]], ['rel_cancer', ['lung', 'breast', 'colon']], ['rel_relation', ['mother', 'grandfather', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [39, 52, 0]], ['rel_cancer', ['cervical', 'breast']], ['rel_relation', ['mother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['prostate', 'lung']], ['rel_relation', ['mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [59, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [52, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['skin', 'bone']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [94, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [50, 70, 0]], ['rel_cancer', ['breast', 'intestinal']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [49, 54, 60]], ['rel_cancer', ['melanoma', 'colon', 'breast', 'bladder']], ['rel_relation', ['grandmother', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [55, 65, 0]], ['rel_cancer', ['melanoma', 'breast']], ['rel_relation', ['aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['', 'pancreatic']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [70, 70, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [62, 0, 0]], ['rel_cancer', ['', 'glioblastoma']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [45, 55, 61]], ['rel_cancer', ['cervical', 'lung', 'skin', 'bladder']], ['rel_relation', ['uncle', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['prostate', 'colon', 'liver', 'breast']], ['rel_relation', ['cousin', 'aunt', 'grandmother', 'uncle', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 0, 0]], ['rel_cancer', ['cervical', 'colon', 'breast']], ['rel_relation', ['grandmother', 'uncle', 'mother', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 63, 68]], ['rel_cancer', ['stomach', 'prostate', 'breast']], ['rel_relation', ['grandmother', 'mother', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'uterine']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [53, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [63, 65, 55]], ['rel_cancer', ['prostate', 'breast']], ['rel_relation', ['mother', 'aunt', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [56, 58, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [65, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [49, 60, 0]], ['rel_cancer', ['brain', 'breast']], ['rel_relation', ['grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [78, 0, 0]], ['rel_cancer', ['stomach', '']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['lung', 'breast', 'rectal']], ['rel_relation', ['cousin', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['skin', 'lung', 'pancreatic']], ['rel_relation', ['grandmother', 'uncle', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [23, 35, 1295]], ['rel_cancer', ['skin', 'breast', 'lymphoma']], ['rel_relation', ['grandmother', 'uncle', 'cousin']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['brain', 'breast']], ['rel_relation', ['grandmother', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [72, 0, 0]], ['rel_cancer', ['muscular', 'lymphoma', 'breast']], ['rel_relation', ['grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 0, 0]], ['rel_cancer', ['leukemia', 'breast']], ['rel_relation', ['grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 60, 0]], ['rel_cancer', ['lung', 'sumerian']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [75, 0, 0]], ['rel_cancer', ['skin', 'breast']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['stomach', 'leukemia', 'melanoma', 'breast']], ['rel_relation', ['grandmother', 'uncle', 'grandfather', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [57, 62, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 65, 0]], ['rel_cancer', ['brain', 'lung']], ['rel_relation', ['grandmother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [68, 72, 75]], ['rel_cancer', ['skin', 'lung', 'colon', 'bladder']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [70, 80, 0]], ['rel_cancer', ['renal', 'liver']], ['rel_relation', ['grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [65, 0, 0]], ['rel_cancer', ['', 'prostate']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['', 'bone']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 0, 0]], ['rel_cancer', ['brain', 'rectal']], ['rel_relation', ['uncle', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [66, 67, 77]], ['rel_cancer', ['stomach', 'colon', 'prostate', 'leukemia', 'breast']], ['rel_relation', ['grandmother', 'father', 'great grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [83, 75, 0]], ['rel_cancer', ['colon', 'bladder']], ['rel_relation', ['grandmother', 'father', 'grandfather', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [54, 0, 0]], ['rel_cancer', ['', 'leukemia']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['skin', 'lung', 'breast', 'kidney']], ['rel_relation', ['grandmother', 'mother', 'aunt', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['melanoma', 'brain', 'breast', 'throat']], ['rel_relation', ['grandmother', 'uncle', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 89, 0]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'yes'], ['rel_age', [60, 60, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['', 'mother', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'yes'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [65, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [35, 90, 0]], ['rel_cancer', ['testicular', '']], ['rel_relation', ['father', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [64, 0, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['mother', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [43, 61, 65]], ['rel_cancer', ['skin', 'bone', 'leukemia', 'breast']], ['rel_relation', ['grandmother', 'aunt', 'grandfather', 'cousin']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [1960, 0, 0]], ['rel_cancer', ['', 'uterine']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['hispanic']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['liver', 'breast']], ['rel_relation', ['grandmother', 'uncle']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 50, 67]], ['rel_cancer', ['stomach', 'lymphoma', 'breast']], ['rel_relation', ['', 'mother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['irish']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [64, 75, 80]], ['rel_cancer', ['prostate', 'breast']], ['rel_relation', ['', 'uncle', 'mother', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['hispanic', 'caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [80, 89, 70]], ['rel_cancer', ['colon', 'leukemia', 'mouth']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['hispanic']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [52, 71, 0]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['mother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['european', 'persian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [53, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [50, 50, 50]], ['rel_cancer', ['breast']], ['rel_relation', ['aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [56, 0, 0]], ['rel_cancer', ['', 'uterine']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Not Hispanic or Latino'], ['Pathogenic', 'False'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [56, 0, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['grandmother', 'mother', 'great grandmother']], ['Pathogenic', 'False'], ['cancer_dx', '-'], ['cancer_dx_age', ''], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'america', 'european', 'italian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'prostate']], ['rel_relation', ['', 'uncle']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [13, 0, 0]], ['rel_cancer', ['', 'leukemia']], ['rel_relation', ['', 'uncle']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 57], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [53, 0, 0]], ['rel_cancer', ['', 'small cell']], ['rel_relation', ['', 'brother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 57], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['stomach', '']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['also skin cancer--not melanoma\"\", \"\"Ductal in situ, Triple Negative (recurrence at age 64)\"\", \"\"Definitely colon, likely ovarian, also\"\", \"\"d. 1968, abdominal cancer of unknown origin\"\", \"\"Skin cancer, not melanoma\"\", \"\"Basal cell cancer\"\"]'], ['cancer_dx', 'yes'], ['cancer_dx_age', 42], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [60, 67, 72]], ['rel_cancer', ['', '2', 'i', 'e', 'u', 'a', 'o']], ['rel_relation', ['', 'aunt', 'grandmother', 'father', 'mother']], ['cancer_dx', '-'], ['cancer_dx_age', ''], ['consent_approval', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'yes'], ['rel_age', [55, 65, 0]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [58, 0, 0]], ['rel_cancer', ['prostate', 'colon']], ['rel_relation', ['grandmother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [57, 64, 67]], ['rel_cancer', ['lung', 'lymphoma', 'breast']], ['rel_relation', ['', 'mother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['', 'pancreatic']], ['rel_relation', ['', 'great grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [60, 58, 0]], ['rel_cancer', ['carcinoma', 'breast']], ['rel_relation', ['grandmother', 'uncle']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [70, 75, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [43, 60, 0]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [66, 69, 72]], ['rel_cancer', ['skin', 'glaucoma', 'prostate', 'colon']], ['rel_relation', ['grandmother', 'mother', 'grandfather', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [57, 67, 0]], ['rel_cancer', ['gastric adenocarcinoma', 'bladder']], ['rel_relation', ['mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [35, 50, 0]], ['rel_cancer', ['stomach', 'lung', 'uterine', 'thyroid']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 55, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['grandmother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [56, 0, 0]], ['rel_cancer', ['skin', 'breast']], ['rel_relation', ['grandmother', 'uncle', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [56, 0, 0]], ['rel_cancer', ['skin', 'breast']], ['rel_relation', ['grandmother', 'uncle', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [40, 50, 0]], ['rel_cancer', ['leukemia', 'breast']], ['rel_relation', ['grandmother', 'great grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [85, 0, 0]], ['rel_cancer', ['', 'pancreatic']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['cousin', 'father', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [27, 62, 49]], ['rel_cancer', ['lupus', 'thyroid', 'breast']], ['rel_relation', ['grandmother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 60, 0]], ['rel_cancer', ['breast']], ['rel_relation', ['aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [52, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', 47], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [59, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['lung', 'colon']], ['rel_relation', ['grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [45, 75, 0]], ['rel_cancer', ['melanoma', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [52, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [53, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [54, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [75, 56, 0]], ['rel_cancer', ['prostate', 'breast']], ['rel_relation', ['grandmother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [52, 0, 0]], ['rel_cancer', ['stomach', '']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [54, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['black']], ['known_brca', 'unknown'], ['rel_age', [50, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['asian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [79, 0, 0]], ['rel_cancer', ['', 'prostate']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['asian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['asian', 'indian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['colon', 'bladder']], ['rel_relation', ['uncle', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['lung', 'breast', 'kidney']], ['rel_relation', ['grandmother', 'aunt', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [58, 60, 0]], ['rel_cancer', ['stomach', 'prostate']], ['rel_relation', ['uncle', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 0, 0]], ['rel_cancer', ['', 'lung']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [50, 60, 68]], ['rel_cancer', ['stomach', 'lung']], ['rel_relation', ['uncle', 'father', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [84, 0, 0]], ['rel_cancer', ['colon', 'prostate', 'testicular', 'leukemia', 'breast']], ['rel_relation', ['', 'cousin', 'grandmother', 'uncle', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [70, 66, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['colon', 'breast', 'bladder']], ['rel_relation', ['', 'mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [74, 76, 75]], ['rel_cancer', ['lung', 'colon', 'breast']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [76, 80, 52]], ['rel_cancer', ['lung', 'breast']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [65, 0, 0]], ['rel_cancer', ['', 'prostate']], ['rel_relation', ['', 'brother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', 30], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [70, 50, 0]], ['rel_cancer', ['skin', 'breast']], ['rel_relation', ['grandmother', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['MUTYH,PMS2\"\\tnot_strong\\t\"consent_approval', 'yes'], ['Pathogenic', 'False'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', 23], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 60, 63]], ['rel_cancer', ['stomach', 'colon', 'pancreatic', 'plasma cell', 'prostate', 'breast']], ['rel_relation', ['uncle', 'mother', 'aunt', 'great grandmother']], ['Pathogenic', 'False'], ['cancer_dx', '-'], ['cancer_dx_age', ''], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', 34], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [74, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_cancer', 'yes'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [4, 70, 65]], ['rel_cancer', ['lung', 'leukemia']], ['rel_relation', ['uncle', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [47, 0, 0]], ['rel_cancer', ['cervical', 'breast']], ['rel_relation', ['grandmother', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [32, 60, 60]], ['rel_cancer', ['prostate', 'liver', 'lueikmea']], ['rel_relation', ['grandmother', 'mother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [35, 0, 0]], ['rel_cancer', ['lung', 'gist']], ['rel_relation', ['grandmother', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [50, 51, 69]], ['rel_cancer', ['skin', 'colon', 'leukemia', 'lymphoma']], ['rel_relation', ['', 'cousin', 'brother', 'aunt', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'leukemia']], ['rel_relation', ['', 'great aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [57, 61, 83]], ['rel_cancer', ['lung', 'colon']], ['rel_relation', ['grandmother', 'uncle']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['prostate', 'lung', 'breast']], ['rel_relation', ['grandmother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['skin', 'colon']], ['rel_relation', ['grandmother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [58, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [73, 70, 0]], ['rel_cancer', ['lung', 'colon']], ['rel_relation', ['grandmother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [65, 0, 0]], ['rel_cancer', ['', 'bladder']], ['rel_relation', ['', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['', 'prostate']], ['rel_relation', ['', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [40, 60, 30]], ['rel_cancer', ['skin', 'leukemia', 'throat']], ['rel_relation', ['grandmother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [70, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['skin', 'breast']], ['rel_relation', ['cousin', 'aunt', 'grandfather', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['rel_age', [60, 3040, 4050]], ['rel_cancer', ['melanoma', 'thyroid', 'breast', 'esophageal']], ['rel_relation', ['', 'cousin', 'aunt', 'uncle', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['hispanic', 'latino']], ['known_brca', 'unknown'], ['other_cancer', 'No'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['hispanic', 'latino']], ['known_brca', 'unknown'], ['other_cancer', 'No'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['european', 'caucasian', 'caucasian']], ['known_brca', 'yes'], ['other_cancer', 'Yes'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['european', 'caucasian', 'caucasian']], ['known_brca', 'unknown'], ['other_cancer', 'Yes'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['european', 'caucasian', 'caucasian']], ['known_brca', 'unknown'], ['other_cancer', 'No'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['european', 'caucasian', 'caucasian']], ['known_brca', 'unknown'], ['other_cancer', 'No'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['european', 'caucasian', 'caucasian']], ['known_brca', 'unknown'], ['other_cancer', 'No'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [68, 39, 0]], ['rel_cancer', ['brain', 'lymphatic']], ['rel_relation', ['mother', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['uncle', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [71, 50, 65]], ['rel_cancer', ['stomach', 'breast', 'adenocarcinoma of ampulla of vate']], ['rel_relation', ['sister', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [55, 65, 67]], ['rel_cancer', ['cervical', 'prostate', 'breast']], ['rel_relation', ['mother', 'grandfather', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [60, 62, 76]], ['rel_cancer', ['myeloma', 'lung', 'pancreatic', 'breast']], ['rel_relation', ['cousin', 'uncle', 'mother', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [64, 0, 0]], ['rel_cancer', ['', 'bile duct']], ['rel_relation', ['', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['uterine', 'ovarian']], ['rel_relation', ['great grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [70, 70, 0]], ['rel_cancer', ['squamous cell', 'myeloma', 'breast']], ['rel_relation', ['grandmother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', 60], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [60, 60, 66]], ['rel_cancer', ['skin', 'prostate', 'colon', 'myeloma']], ['rel_relation', ['sister', 'mother', 'brother', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['cervical', 'breast']], ['rel_relation', ['grandmother', 'aunt', 'great grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [55, 85, 0]], ['rel_cancer', ['colon']], ['rel_relation', ['grandmother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['america', 'black']], ['known_brca', 'unknown'], ['other_cancer', 'No'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', 29], ['consent_approval', 'yes'], ['ethnicity', []], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['', 'prostate']], ['rel_relation', ['', 'uncle']], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', []], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['colon', 'breast']], ['rel_relation', ['grandmother', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'no'], ['ethnicity', ['european', 'caucasian', 'caucasian']], ['known_brca', 'unknown'], ['other_cancer', 'No'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 51], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['melanoma', '']], ['rel_relation', ['', 'uncle']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', 30], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [80, 65, 0]], ['rel_cancer', ['uterine', 'breast']], ['rel_relation', ['grandmother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [76, 0, 0]], ['rel_cancer', ['', 'colon']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [55, 0, 0]], ['rel_cancer', ['', 'rectal']], ['rel_relation', ['', 'uncle']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'not_strong'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [44, 70, 71]], ['rel_cancer', ['bone', 'bladder', 'melanoma', 'brain', 'lung']], ['rel_relation', ['cousin', 'grandmother', 'mother', 'uncle', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['lung', 'myeloma']], ['rel_relation', ['father', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['skin', '']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'lung']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [77, 66, 0]], ['rel_cancer', ['lung', 'myeloma']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'hispanic']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [80, 0, 0]], ['rel_cancer', ['', 'prostate']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian', 'america']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [52, 0, 0]], ['rel_cancer', ['', 'malt non hodgkins']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [77, 0, 0]], ['rel_cancer', ['', 'lung']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [60, 48, 0]], ['rel_cancer', ['skin', 'lung']], ['rel_relation', ['mother', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [62, 0, 0]], ['rel_cancer', ['', 'vulgar']], ['rel_relation', ['', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 52, 0]], ['rel_cancer', ['skin', 'lung']], ['rel_relation', ['mother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [75, 0, 0]], ['rel_cancer', ['unsure', '']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [75, 0, 0]], ['rel_cancer', ['', 'lymphoma']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 70, 0]], ['rel_cancer', ['lung']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 80, 0]], ['rel_cancer', ['liver', 'lymphoma']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [65, 0, 0]], ['rel_cancer', ['', 'lung']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [63, 0, 0]], ['rel_cancer', ['', 'lung']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [75, 0, 0]], ['rel_cancer', ['', 'liver']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [19, 75, 0]], ['rel_cancer', ['testicular', 'melanoma']], ['rel_relation', ['cousin', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [64, 62, 0]], ['rel_cancer', ['melanoma', 'lymphoma']], ['rel_relation', ['mother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [69, 0, 0]], ['rel_cancer', ['skin', 'lung']], ['rel_relation', ['cousin', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [30, 0, 0]], ['rel_cancer', ['', 'liver']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [35, 0, 0]], ['rel_cancer', ['', 'bladder']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['skin', '']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [68, 0, 0]], ['rel_cancer', ['', 'lung']], ['rel_relation', ['', 'aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['european', 'caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['hispanic', 'caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['european', 'america']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'prostate']], ['rel_relation', ['', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'yes'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [1997, 2006, 0]], ['rel_cancer', ['lung', 'throat']], ['rel_relation', ['father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [48, 0, 0]], ['rel_cancer', ['skin', 'lung']], ['rel_relation', ['grandmother', 'mother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [71, 71, 67]], ['rel_cancer', ['lung', 'leukemia']], ['rel_relation', ['mother', 'grandfather', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [37, 68, 0]], ['rel_cancer', ['lymphoma']], ['rel_relation', ['uncle', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['lung', 'liver', 'bile duct']], ['rel_relation', ['cousin', 'uncle', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [58, 0, 0]], ['rel_cancer', ['', 'lung']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [2530, 0, 0]], ['rel_cancer', ['cervical', '']], ['rel_relation', ['', 'mother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [40, 0, 0]], ['rel_cancer', ['', 'lung']], ['rel_relation', ['great uncle', '']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [60, 0, 0]], ['rel_cancer', ['', 'breast']], ['rel_relation', ['', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [79, 0, 0]], ['rel_cancer', ['lung']], ['rel_relation', ['grandmother', 'great aunt']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 60, 0]], ['rel_cancer', ['skin', 'tongue']], ['rel_relation', ['grandmother', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'True'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 0, 0]], ['rel_cancer', ['melanoma', '']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [5060, 0, 0]], ['rel_cancer', ['', 'lymphoma']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [41, 52, 61]], ['rel_cancer', ['lung']], ['rel_relation', ['grandmother', 'mother', 'grandfather', 'father']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [70, 60, 0]], ['rel_cancer', ['lung', 'leukemia']], ['rel_relation', ['grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [55, 0, 0]], ['rel_cancer', ['', 'lymphoma']], ['rel_relation', ['', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['asian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['asian']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['asian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['asian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [44, 0, 0]], ['rel_cancer', ['', 'im not sure']], ['rel_relation', ['', 'cousin']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['america']], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'yes'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [73, 75, 0]], ['rel_cancer', ['brain', 'prostate']], ['rel_relation', ['grandmother', 'grandfather']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', []], ['known_brca', 'unknown'], ['known_cancer', 'no'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx_age', ''], ['ethnicity', []], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['cancer_dx', '-'], ['cancer_dx_age', ''], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'True'], ['cancer_dx_age', ''], ['ethnicity', []], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['cancer_dx', '-'], ['cancer_dx_age', ''], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian', 'caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [38, 0, 0]], ['rel_cancer', ['cervical', '']], ['rel_relation', ['', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', []], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['european']], ['known_brca', 'unknown'], ['rel_age', [55, 0, 0]], ['rel_cancer', ['bone', 'squamous cell carcinoma nasal septum']], ['rel_relation', ['brother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['hispanic']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['', 'leukemia']], ['rel_relation', ['', 'aunt']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['european', 'caucasian', 'caucasian']], ['known_brca', 'unknown'], ['other_cancer', 'Yes'], ['rel_age', [0, 0, 0]], ['known_cancer', '-'], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [78, 63, 0]], ['rel_cancer', ['lung', 'lymphoma']], ['rel_relation', ['grandmother', 'great grandmother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['cancer_dx', '-'], ['cancer_dx_age', ''], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [79, 54, 0]], ['rel_cancer', ['polycythemia', 'bladder']], ['rel_relation', ['mother', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [23, 0, 0]], ['rel_cancer', ['cervical', '']], ['rel_relation', ['', 'mother']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [79, 54, 0]], ['rel_cancer', ['polycythemia', 'bladder']], ['rel_relation', ['grandmother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [68, 0, 0]], ['rel_cancer', ['', 'no small cell carcinoma']], ['rel_relation', ['', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['rel_age', [0, 0, 0]], ['rel_cancer', ['']], ['rel_relation', ['']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', ['asian']], ['known_brca', 'unknown'], ['rel_age', [61, 0, 0]], ['rel_cancer', ['', 'lung']], ['rel_relation', ['', 'father']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['consent_approval', 'yes'], ['ethnicity', []], ['known_brca', 'unknown'], ['rel_age', [32, 70, 0]], ['rel_cancer', ['skin', '']], ['rel_relation', ['mother', 'grandfather']], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n", + "[['History_class', 'none'], ['Pathogenic', 'False'], ['cancer_dx', 'no'], ['cancer_dx_age', ''], ['ethnicity', ['caucasian']], ['known_brca', 'no'], ['known_cancer', 'no'], ['rel_age', [78, 0, 0]], ['rel_cancer', ['', 'appendiceal']], ['rel_relation', ['', 'grandmother']], ['consent_approval', '-'], ['ethnicity', '-'], ['known_brca', '-'], ['known_cancer', '-'], ['known_cancer', ['0', '0', '0']], ['rel_cancer', '-'], ['rel_relation', '-']]\n" + ] + } + ], + "source": [ + "for i in finalDataCleanLength:\n", + " if len(i) != 11: print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "id": "incident-jonathan", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[['History_class', 'strong_personal'],\n", + " ['Pathogenic', 'False'],\n", + " ['cancer_dx', 'yes'],\n", + " ['cancer_dx_age', 57],\n", + " ['consent_approval', 'yes'],\n", + " ['ethnicity', ['caucasian']],\n", + " ['known_brca', 'unknown'],\n", + " ['known_cancer', 'yes'],\n", + " ['rel_age', [55, 64, 70]],\n", + " ['rel_cancer',\n", + " ['squamous cell carcinoa',\n", + " 'bladder',\n", + " 'ovarian',\n", + " 'liver',\n", + " 'leukemia',\n", + " 'breast']],\n", + " ['rel_relation', ['', 'mother']]]" + ] + }, + "execution_count": 126, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sorted([['History_class', 'strong_personal'], ['Pathogenic', 'False'], ['cancer_dx', 'yes'], ['cancer_dx_age', 57], ['consent_approval', 'yes'], ['ethnicity', ['caucasian']], ['known_brca', 'unknown'], ['known_cancer', 'yes'], ['rel_age', [55, 64, 70]], ['rel_cancer', ['squamous cell carcinoa', 'bladder', 'ovarian', 'liver', 'leukemia', 'breast']], ['rel_relation', ['', 'mother']]])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "plain-vegetarian", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "challenging-street", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "temporal-onion", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "permanent-cache", + "metadata": {}, + "outputs": [], + "source": [ + "for i in finalDataRemoved:\n", + " if i[1][0] == \"cancer_dx_age\":\n", + " i.insert(1, ['cancer_dx', 'no'])\n", + " if i[2][0] == \"consent_approval\":\n", + " i.insert(2, ['cancer_dx_age', \"0\"])\n", + " if i[3][0] == \"ethnicity\":\n", + " i.insert(3, ['consent_approval', 'no'])\n", + " if i[4][0] == \"known_brca\":\n", + " i.insert(4, ['ethnicity', ['']])\n", + " if i[5][0] == \"known_cancer\":\n", + " i.insert(5, ['known_brca', ''])\n", + " if i[6][0] == \"rel_age\":\n", + " i.insert(6,['known_cancer', 'no'])\n", + " if i[7][0] == \"rel_cancer\":\n", + " i.insert(7, ['rel_age', [0, 0, 0]])\n", + " try:\n", + " if i[8][0] == \"rel_relation\":\n", + " i.insert(8, ['rel_cancer', ['']])\n", + " except:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "still-malta", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1329\n", + "853\n" + ] + } + ], + "source": [ + "ct = 0\n", + "ctDeleted = 0\n", + "for i in finalDataRemoved:\n", + " if len(i) != 10:\n", + " del finalDataRemoved[ct]\n", + " ctDeleted+=1\n", + " ct+=1\n", + "print(ct)\n", + "print(ctDeleted)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "sustainable-listening", + "metadata": {}, + "outputs": [], + "source": [ + "def encodeRelationship(lst):\n", + " string = \"\"\n", + " for rel in possibleRelationship:\n", + " if rel in lst:\n", + " string+=\"1\"\n", + " else:\n", + " string+=\"0\"\n", + " return string\n", + "def encodeRelCancer(lst):\n", + " string = \"\"\n", + " for rel in relCancerPoss:\n", + " if rel in lst:\n", + " string+=\"1\"\n", + " else:\n", + " string+=\"0\"\n", + " return string\n", + "ethnicity = ['caucasian', 'hispanic', 'american', 'american indian', 'america', 'german', 'black', 'african american', 'indian', \n", + " 'italian', 'polish', 'middle eastern', 'jewish', 'japanese', 'irish', 'european', 'asian', 'asian american', 'swedish', \n", + " 'latino', 'scottish', 'greek', 'korean', '-']\n", + "def encodeEthnicity(lst):\n", + " string = \"\"\n", + " for rel in ethnicity:\n", + " if rel in lst:\n", + " string+=\"1\"\n", + " else:\n", + " string+=\"0\"\n", + " return string" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "alternative-magic", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'count=0\\nfor j in finalDataRemoved:\\n j = j.sort()\\n if not j[0][0] == \"Pathogenic\":\\n print(\"Pathogenic\", j[0])\\n j[0] = [\"Pathogenic\", \"0\"]\\n if not j[1][0] == \"cancer_dx\":\\n print(\"cancer_dx\", j[1])\\n if not j[2][0] == \"cancer_dx_age\":\\n print(\"cancer_dx_age\", j[2])\\n if not j[3][0] == \"consent_approval\":\\n print(\"consent_approval\", j[3])\\n if not j[4][0] == \"ethnicity\":\\n print(\"ethnicity\", j[4])\\n if not j[5][0] == \"known_brca\":\\n print(\"known_brca\", j[5])\\n if not j[6][0] == \"rel_age\":\\n print(\"rel_age\", j[6])\\n if not j[7][0] == \"rel_cancer\":\\n print(\"rel_cancer\", j[7])\\n if not j[8][0] == \"rel_relation\":\\n print(\"rel_relation\", j[8])\\n count+=1'" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"\"\"count=0\n", + "for j in finalDataRemoved:\n", + " j = j.sort()\n", + " if not j[0][0] == \"Pathogenic\":\n", + " print(\"Pathogenic\", j[0])\n", + " j[0] = [\"Pathogenic\", \"0\"]\n", + " if not j[1][0] == \"cancer_dx\":\n", + " print(\"cancer_dx\", j[1])\n", + " if not j[2][0] == \"cancer_dx_age\":\n", + " print(\"cancer_dx_age\", j[2])\n", + " if not j[3][0] == \"consent_approval\":\n", + " print(\"consent_approval\", j[3])\n", + " if not j[4][0] == \"ethnicity\":\n", + " print(\"ethnicity\", j[4])\n", + " if not j[5][0] == \"known_brca\":\n", + " print(\"known_brca\", j[5])\n", + " if not j[6][0] == \"rel_age\":\n", + " print(\"rel_age\", j[6])\n", + " if not j[7][0] == \"rel_cancer\":\n", + " print(\"rel_cancer\", j[7])\n", + " if not j[8][0] == \"rel_relation\":\n", + " print(\"rel_relation\", j[8])\n", + " count+=1\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "educational-superintendent", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "known_brca ERROR \n", + "['basal cell skin\"\", \"\"prostate, basal cell skin cancer\"\", \"\"melanoma of vagina (rare)\"\", \"\"ovarian\"\", \"\"ovarian\"\", \"\"breast\"\", \"\"basal cell skin cancer\"\", \"\"stomach cancer\"\", \"\"breast cancer\"\", \"\"prostate\"\"]']\n", + "['breast x 2 types']\n", + "['European']\n", + "known_brca ERROR \n", + "['Caucasian']\n" + ] + } + ], + "source": [ + "finalDataDF = []\n", + "for i in finalDataRemoved:\n", + " tempArray = []\n", + " for j in i:\n", + " if j[0] == \"History_class\": \n", + " if j[1] == \"strong_personal\":\n", + " tempArray.append(\"11\")\n", + " elif j[1] == \"strong_family\":\n", + " tempArray.append(\"10\")\n", + " elif j[1] == \"not_strong\":\n", + " tempArray.append(\"01\")\n", + " elif j[1] == \"none\":\n", + " tempArray.append(\"00\")\n", + " elif j[0] == \"ethnicity\": \n", + " tempArray.append(encodeEthnicity(j[1]))\n", + " elif j[0] == \"rel_relation\":\n", + " tempArray.append(encodeRelationship(j[1]))\n", + " elif j[0] == \"rel_cancer\":\n", + " tempArray.append(encodeRelCancer(j[1]))\n", + " elif j[0] == \"rel_age\":\n", + " try:\n", + " tempArray.append(str(j[1][0]))\n", + " tempArray.append(str(j[1][1]))\n", + " tempArray.append(str(j[1][2]))\n", + " except IndexError:\n", + " print(\"Error with data defaulting to 0\")\n", + " print(j)\n", + " tempArray.append(\"0\")\n", + " tempArray.append(\"0\")\n", + " tempArray.append(\"0\")\n", + " \n", + " elif j[0] == \"cancer_dx_age\":\n", + " if j[1] == \"\":\n", + " tempArray.append(\"0\")\n", + " else:\n", + " tempArray.append(str(j[1]))\n", + " \n", + " elif j[0] == \"Pathogenic\":\n", + " if j[1] == \"False\":\n", + " tempArray.append(\"0\")\n", + " elif j[1] == \"True\":\n", + " tempArray.append(\"1\")\n", + " else:\n", + " print(j[0], \"ERROR\")\n", + " \n", + " elif j[0] == \"consent_approval\": \n", + " if j[1] == \"-\":\n", + " tempArray.append(str(\"00\"))\n", + " elif j[1] == \"no\":\n", + " tempArray.append(str(\"01\"))\n", + " elif j[1] == \"yes\":\n", + " tempArray.append(str(\"10\"))\n", + " else:\n", + " print(j[0], \"ERROR\")\n", + " elif j[0] == \"known_cancer\": \n", + " if j[1] == \"-\":\n", + " tempArray.append(str(\"00\"))\n", + " elif j[1] == \"no\":\n", + " tempArray.append(str(\"01\"))\n", + " elif j[1] == \"yes\":\n", + " tempArray.append(str(\"10\"))\n", + " else:\n", + " print(j[0], \"ERROR\", j[1])\n", + " \n", + " elif j[0] == \"cancer_dx\": \n", + " if j[1] == \"-\":\n", + " tempArray.append(str(\"00\"))\n", + " elif j[1] == \"no\":\n", + " tempArray.append(str(\"01\"))\n", + " elif j[1] == \"yes\":\n", + " tempArray.append(str(\"10\"))\n", + " else:\n", + " print(j[0], \"ERROR\", j[1])\n", + " \n", + " elif j[0] == \"other_cancer\": \n", + " if j[1] == \"-\":\n", + " tempArray.append(str(\"00\"))\n", + " elif j[1].lower() == \"no\":\n", + " tempArray.append(str(\"01\"))\n", + " elif j[1].lower() == \"yes\":\n", + " tempArray.append(str(\"10\"))\n", + " else:\n", + " print(j[0], \"ERROR\", j[1]) \n", + " \n", + " elif j[0] == \"known_brca\":\n", + " if j[1] == \"unknown\":\n", + " tempArray.append(str(\"00\"))\n", + " elif j[1] == \"no\":\n", + " tempArray.append(str(\"01\"))\n", + " elif j[1] == \"yes\":\n", + " tempArray.append(str(\"10\"))\n", + " elif j[1] == \"-\":\n", + " tempArray.append(str(\"11\"))\n", + " else:\n", + " print(j[0], \"ERROR\", j[1])\n", + " else:\n", + " try:\n", + " tempArray.append(str(j[1]))\n", + " except:\n", + " print(j)\n", + " #print(tempArray)\n", + " #print(\"\")\n", + " finalDataDF.append(tempArray)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "corporate-evaluation", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['yes', '00', '1', '01', '0', '100000000000000000000000', '00', '01', '0', '0', '0', '00000000000000000000000000000000', '000000000000000']\n" + ] + } + ], + "source": [ + "dfData = finalDataDF\n", + "for i in finalDataDF:\n", + " for j in i:\n", + " try:\n", + " int(j)\n", + " except:\n", + " print(i)\n", + " dfData.remove(i)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "vocal-maryland", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['00', '0', '01', '0', '10', '000000000000000010000000', '00', '01', '0', '0', '0', '00000000000000000000000000000000', '000000000000000']\n", + "['11', '0', '10', '55', '100000000000000000000000', '00', '10', '72', '0', '0', '00000000000000100000000100000000', '000010000000000']\n", + "['01', '0', '01', '0', '10', '100000000000000000000000', '00', '01', '0', '0', '0', '01000000000000010000000000000000', '000001100000000']\n", + "['01', '0', '01', '0', '10', '100000000000000000000000', '00', '01', '63', '68', '70', '01001010011001000000000100000000', '001001110001001']\n", + "['10', '0', '01', '50', '10', '100000000000000000000000', '00', '01', '70', '67', '0', '00001000000001000000000000000000', '000010000001000']\n", + "['10', '0', '01', '0', '10', '100000000000000000000000', '00', '01', '50', '57', '66', '00001000000010000000010000000000', '100001000000001']\n", + "['10', '0', '01', '0', '10', '000000001000000010000000', '00', '01', '47', '53', '62', '00000000100001000000100100000000', '100001100001001']\n", + "['10', '0', '01', '0', '100010001000000000000000', '00', '10', '74', '0', '0', '00000000000000000000100000000000', '000000000001000']\n", + "['00', '0', '01', '0', '10', '000000000000000000000000', '00', '01', '0', '0', '0', '00000000000000000000000000000000', '000000000000000']\n", + "['10', '1', '01', '0', '10', '100000000000000000000000', '00', '01', '58', '0', '0', '00000000000000000000001000000000', '000000100000000']\n" + ] + } + ], + "source": [ + "for i in range(10):\n", + " print(dfData[random.randint(0,len(dfData))])" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "amended-clerk", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(dfData, columns = ['History_class','Pathogenic','cancer_dx','cancer_dx_age','consent_approval','ethnicity',\n", + " 'known_brca','known_cancer','rel_age_1','rel_age_2','rel_age_3','rel_cancer',\n", + " 'rel_relation'])" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "injured-attack", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
History_classPathogeniccancer_dxcancer_dx_ageconsent_approvalethnicityknown_brcaknown_cancerrel_age_1rel_age_2rel_age_3rel_cancerrel_relation
0110105710100000000000000000000000001055647001001000000110000000100000000000000000000001000
11100132100000000000000000000000000100000000000000000000000000000000000000000000000000None
21101037010000000000000000000000001074607000000010000000000000000000000001100010000000010None
311010551000000000000000000000000010720000000000000000100000000100000000000010000000000None
4110104710100000000000000100000000000158687101001000000001100000001000000000101000100000011
..........................................
1322000010101000000000000000000000000001500000000100000000000000000000000000000000000001000
132300001010100000000000000000000000000100000000000000001000000000000000000000000100000000
132400001010100000000000000000000000000100000000000000000000000000000000000000000000000000
1325000010101000000000000000000000000001810000000000000000000000000000000000000001000000000
132600001010100000000000000000000000010100000000000000000000000000000000000000000000000000
\n", + "

1327 rows × 13 columns

\n", + "
" + ], + "text/plain": [ + " History_class Pathogenic cancer_dx cancer_dx_age \\\n", + "0 11 0 10 57 \n", + "1 11 0 01 32 \n", + "2 11 0 10 37 \n", + "3 11 0 10 55 \n", + "4 11 0 10 47 \n", + "... ... ... ... ... \n", + "1322 00 0 01 0 \n", + "1323 00 0 01 0 \n", + "1324 00 0 01 0 \n", + "1325 00 0 01 0 \n", + "1326 00 0 01 0 \n", + "\n", + " consent_approval ethnicity known_brca \\\n", + "0 10 100000000000000000000000 00 \n", + "1 100000000000000000000000 00 01 \n", + "2 010000000000000000000000 00 10 \n", + "3 100000000000000000000000 00 10 \n", + "4 10 100000000000000100000000 00 \n", + "... ... ... ... \n", + "1322 10 100000000000000000000000 00 \n", + "1323 10 100000000000000000000000 00 \n", + "1324 10 100000000000000000000000 00 \n", + "1325 10 100000000000000000000000 00 \n", + "1326 10 100000000000000000000000 01 \n", + "\n", + " known_cancer rel_age_1 rel_age_2 rel_age_3 \\\n", + "0 10 55 64 70 \n", + "1 0 0 0 00000000000000000000000000000000 \n", + "2 74 60 70 00000010000000000000000000000001 \n", + "3 72 0 0 00000000000000100000000100000000 \n", + "4 01 58 68 71 \n", + "... ... ... ... ... \n", + "1322 01 50 0 0 \n", + "1323 01 0 0 0 \n", + "1324 01 0 0 0 \n", + "1325 01 81 0 0 \n", + "1326 01 0 0 0 \n", + "\n", + " rel_cancer rel_relation \n", + "0 01001000000110000000100000000000 000000000001000 \n", + "1 000000000000000 None \n", + "2 100010000000010 None \n", + "3 000010000000000 None \n", + "4 01001000000001100000001000000000 101000100000011 \n", + "... ... ... \n", + "1322 00000100000000000000000000000000 000000000001000 \n", + "1323 00000000000001000000000000000000 000000100000000 \n", + "1324 00000000000000000000000000000000 000000000000000 \n", + "1325 00000000000000000000000000000000 000001000000000 \n", + "1326 00000000000000000000000000000000 000000000000000 \n", + "\n", + "[1327 rows x 13 columns]" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "future-paris", + "metadata": {}, + "outputs": [], + "source": [ + "df['History_class'] = df['History_class'].astype('string')\n", + "df['Pathogenic'] = df['Pathogenic'].astype('string')\n", + "df['cancer_dx'] = df['cancer_dx'].astype('string')\n", + "df['cancer_dx_age'] = df['cancer_dx_age'].astype('string')\n", + "df['consent_approval'] = df['consent_approval'].astype('string')\n", + "df['ethnicity'] = df['ethnicity'].astype('string')\n", + "df['known_brca'] = df['known_brca'].astype('string')\n", + "df['known_cancer'] = df['known_cancer'].astype('string')\n", + "df['rel_age_1'] = df['rel_age_1'].astype('string')\n", + "df['rel_age_2'] = df['rel_age_2'].astype('string')\n", + "df['rel_age_3'] = df['rel_age_3'].astype('string')\n", + "df['rel_cancer'] = df['rel_cancer'].astype('string')\n", + "df['rel_relation'] = df['rel_relation'].astype('string')" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "green-suffering", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "History_class string\n", + "Pathogenic string\n", + "cancer_dx string\n", + "cancer_dx_age string\n", + "consent_approval string\n", + "ethnicity string\n", + "known_brca string\n", + "known_cancer string\n", + "rel_age_1 string\n", + "rel_age_2 string\n", + "rel_age_3 string\n", + "rel_cancer string\n", + "rel_relation string\n", + "dtype: object" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "interracial-liabilities", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "coordinate-rebecca", + "metadata": {}, + "outputs": [], + "source": [ + "ctChange=0\n", + "r = []\n", + "for i in dfData:\n", + " temp = []\n", + " for j in i:\n", + " intChange = True\n", + " try:\n", + " int(j)\n", + " except:\n", + " intChange = False\n", + " ctChange+=1\n", + " if intChange:\n", + " temp.append(j)\n", + " else:\n", + " temp.append(0)\n", + " if len(temp) == 13:\n", + " r.append(temp) " + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "id": "interracial-kinase", + "metadata": {}, + "outputs": [], + "source": [ + "dfR = pd.DataFrame(r, columns= ['History_class','Pathogenic','cancer_dx','cancer_dx_age','consent_approval','ethnicity',\n", + " 'known_brca','known_cancer','rel_age_1','rel_age_2','rel_age_3','rel_cancer',\n", + " 'rel_relation'])" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "frank-middle", + "metadata": {}, + "outputs": [], + "source": [ + "dfR = dfR.drop(['ethnicity', 'rel_cancer', 'rel_relation'], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 188, + "id": "southwest-server", + "metadata": {}, + "outputs": [], + "source": [ + "dfR['History_class'] = dfR['History_class'].astype('int64')\n", + "dfR['Pathogenic'] = dfR['Pathogenic'].astype('int64')\n", + "dfR['cancer_dx'] = dfR['cancer_dx'].astype('int64')\n", + "dfR['cancer_dx_age'] = dfR['cancer_dx_age'].astype('int64')\n", + "dfR['consent_approval'] = dfR['consent_approval'].astype('int64')\n", + "#dfR['ethnicity'] = dfR['ethnicity'].astype('int64')\n", + "dfR['known_brca'] = dfR['known_brca'].astype('int64')\n", + "dfR['known_cancer'] = dfR['known_cancer'].astype('int64')\n", + "dfR['rel_age_1'] = dfR['rel_age_1'].astype('int64')\n", + "dfR['rel_age_2'] = dfR['rel_age_2'].astype('int64')\n", + "dfR['rel_age_3'] = dfR['rel_age_3'].astype('int64')\n", + "#dfR['rel_cancer'] = dfR['rel_cancer'].astype('int64')\n", + "#dfR['rel_relation'] = dfR['rel_relation'].astype('int64')" + ] + }, + { + "cell_type": "code", + "execution_count": 224, + "id": "bigger-attack", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
History_classPathogeniccancer_dxcancer_dx_ageconsent_approvalknown_brcaknown_cancerrel_age_1rel_age_2rel_age_3
0110105710010556470
111010471001586871
21101020101010705070
3110104110010896080
411010511010168640
.................................
808001010015000
80900101001000
81000101001000
811001010018100
81200101011000
\n", + "

813 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " History_class Pathogenic cancer_dx cancer_dx_age consent_approval \\\n", + "0 11 0 10 57 10 \n", + "1 11 0 10 47 10 \n", + "2 11 0 10 20 10 \n", + "3 11 0 10 41 10 \n", + "4 11 0 10 51 10 \n", + ".. ... ... ... ... ... \n", + "808 0 0 1 0 10 \n", + "809 0 0 1 0 10 \n", + "810 0 0 1 0 10 \n", + "811 0 0 1 0 10 \n", + "812 0 0 1 0 10 \n", + "\n", + " known_brca known_cancer rel_age_1 rel_age_2 rel_age_3 \n", + "0 0 10 55 64 70 \n", + "1 0 1 58 68 71 \n", + "2 10 10 70 50 70 \n", + "3 0 10 89 60 80 \n", + "4 10 1 68 64 0 \n", + ".. ... ... ... ... ... \n", + "808 0 1 50 0 0 \n", + "809 0 1 0 0 0 \n", + "810 0 1 0 0 0 \n", + "811 0 1 81 0 0 \n", + "812 1 1 0 0 0 \n", + "\n", + "[813 rows x 10 columns]" + ] + }, + "execution_count": 224, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dfR" + ] + }, + { + "cell_type": "code", + "execution_count": 293, + "id": "direct-harvard", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.preprocessing import LabelBinarizer\n", + "from sklearn.preprocessing import MinMaxScaler\n", + "import pandas as pd\n", + "import numpy as np\n", + "import glob\n", + "import cv2\n", + "import os\n", + "from tensorflow.keras.optimizers import Adam\n", + "from sklearn.model_selection import train_test_split\n", + "from pyimagesearch import datasets\n", + "from pyimagesearch import models\n", + "import numpy as np\n", + "import argparse\n", + "import locale\n", + "import os" + ] + }, + { + "cell_type": "code", + "execution_count": 333, + "id": "equipped-active", + "metadata": {}, + "outputs": [], + "source": [ + "#(trainX, testX) = train_test_split(dfR, test_size=0.25, random_state=42)\n", + "trainX, testX, trainY, testY = train_test_split(X, y, test_size=0.2, random_state=42)" + ] + }, + { + "cell_type": "code", + "execution_count": 334, + "id": "searching-sender", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "247 10.0\n", + "589 0.0\n", + "227 10.0\n", + "291 1.0\n", + "539 1.0\n", + " ... \n", + "676 0.0\n", + "440 1.0\n", + "757 0.0\n", + "518 1.0\n", + "664 0.0\n", + "Name: History_class, Length: 163, dtype: float64" + ] + }, + "execution_count": 334, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "trainX.astype('float')\n", + "testX.astype('float')\n", + "trainY.astype('float')\n", + "testY.astype('float')" + ] + }, + { + "cell_type": "code", + "execution_count": 335, + "id": "proper-reserve", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'maxPrice = train[\"price\"].max()\\ntrainY = train[\"price\"] / maxPrice\\ntestY = test[\"price\"] / maxPrice'" + ] + }, + "execution_count": 335, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"\"\"maxPrice = train[\"price\"].max()\n", + "trainY = train[\"price\"] / maxPrice\n", + "testY = test[\"price\"] / maxPrice\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 336, + "id": "sophisticated-welsh", + "metadata": {}, + "outputs": [], + "source": [ + "def create_mlp(dim, regress=False):\n", + "\t# define our MLP network\n", + "\tmodel = tf.keras.Sequential()\n", + "\tmodel.add(layers.Dense(8, input_dim=dim, activation=\"relu\"))\n", + "\tmodel.add(layers.Dense(4, activation=\"relu\"))\n", + "\t# check to see if the regression node should be added\n", + "\tif regress:\n", + "\t\tmodel.add(layers.Dense(1, activation=\"linear\"))\n", + "\t# return our model\n", + "\treturn model" + ] + }, + { + "cell_type": "code", + "execution_count": 337, + "id": "according-withdrawal", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[INFO] training model...\n", + "Epoch 1/200\n", + "82/82 [==============================] - 0s 3ms/step - loss: 692732672.0000 - val_loss: 464217568.0000\n", + "Epoch 2/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 466735648.0000 - val_loss: 275810976.0000\n", + "Epoch 3/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 268257328.0000 - val_loss: 107015768.0000\n", + "Epoch 4/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 82203680.0000 - val_loss: 24548974.0000\n", + "Epoch 5/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 16134068.0000 - val_loss: 36074540.0000\n", + "Epoch 6/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 18969612.0000 - val_loss: 54281644.0000\n", + "Epoch 7/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 49210708.0000 - val_loss: 6722572.5000\n", + "Epoch 8/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 7651224.0000 - val_loss: 43583028.0000\n", + "Epoch 9/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 24529676.0000 - val_loss: 18809890.0000\n", + "Epoch 10/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 145003296.0000 - val_loss: 58360996.0000\n", + "Epoch 11/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 48888668.0000 - val_loss: 11210999.0000\n", + "Epoch 12/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 15796969.0000 - val_loss: 3397615.0000\n", + "Epoch 13/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 11821403.0000 - val_loss: 23149732.0000\n", + "Epoch 14/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 22495176.0000 - val_loss: 14699415.0000\n", + "Epoch 15/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 10345051.0000 - val_loss: 28316490.0000\n", + "Epoch 16/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 10204596.0000 - val_loss: 32678228.0000\n", + "Epoch 17/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 34951396.0000 - val_loss: 12471451.0000\n", + "Epoch 18/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 17466350.0000 - val_loss: 13586892.0000\n", + "Epoch 19/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 14617603.0000 - val_loss: 23556306.0000\n", + "Epoch 20/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 24384770.0000 - val_loss: 9177328.0000\n", + "Epoch 21/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 8569007.0000 - val_loss: 25358054.0000\n", + "Epoch 22/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 23491906.0000 - val_loss: 2993760.0000\n", + "Epoch 23/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 6392156.0000 - val_loss: 34203064.0000\n", + "Epoch 24/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 17295404.0000 - val_loss: 29848472.0000\n", + "Epoch 25/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 24348894.0000 - val_loss: 35437548.0000\n", + "Epoch 26/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 31178888.0000 - val_loss: 4186907.5000\n", + "Epoch 27/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 15186479.0000 - val_loss: 8599718.0000\n", + "Epoch 28/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 12235859.0000 - val_loss: 32156062.0000\n", + "Epoch 29/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 27123586.0000 - val_loss: 7021813.0000\n", + "Epoch 30/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 5519082.5000 - val_loss: 25730686.0000\n", + "Epoch 31/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 35432944.0000 - val_loss: 2722452.0000\n", + "Epoch 32/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 13108313.0000 - val_loss: 34158160.0000\n", + "Epoch 33/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 15592774.0000 - val_loss: 28515186.0000\n", + "Epoch 34/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 29102074.0000 - val_loss: 5636281.0000\n", + "Epoch 35/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 10512222.0000 - val_loss: 32600330.0000\n", + "Epoch 36/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 18339484.0000 - val_loss: 30971812.0000\n", + "Epoch 37/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 24779440.0000 - val_loss: 1329034.7500\n", + "Epoch 38/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 5419681.5000 - val_loss: 11690128.0000\n", + "Epoch 39/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 31017920.0000 - val_loss: 19524348.0000\n", + "Epoch 40/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 21219046.0000 - val_loss: 2201425.2500\n", + "Epoch 41/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 18382866.0000 - val_loss: 2192208.7500\n", + "Epoch 42/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 14043352.0000 - val_loss: 11699295.0000\n", + "Epoch 43/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 11458109.0000 - val_loss: 29128028.0000\n", + "Epoch 44/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 26491500.0000 - val_loss: 4323141.0000\n", + "Epoch 45/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 9629946.0000 - val_loss: 26969076.0000\n", + "Epoch 46/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 12232345.0000 - val_loss: 28301146.0000\n", + "Epoch 47/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 31064350.0000 - val_loss: 8990007.0000\n", + "Epoch 48/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 11472827.0000 - val_loss: 11497835.0000\n", + "Epoch 49/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 17013184.0000 - val_loss: 6553071.5000\n", + "Epoch 50/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 13420035.0000 - val_loss: 15906249.0000\n", + "Epoch 51/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 9520241.0000 - val_loss: 27541994.0000\n", + "Epoch 52/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 21196150.0000 - val_loss: 32780598.0000\n", + "Epoch 53/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 27631156.0000 - val_loss: 21599152.0000\n", + "Epoch 54/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 21062742.0000 - val_loss: 15390406.0000\n", + "Epoch 55/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 13066217.0000 - val_loss: 25267988.0000\n", + "Epoch 56/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 23338780.0000 - val_loss: 3740935.5000\n", + "Epoch 57/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 6789952.5000 - val_loss: 5803216.0000\n", + "Epoch 58/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 26375962.0000 - val_loss: 3297441.2500\n", + "Epoch 59/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 6126692.5000 - val_loss: 28238436.0000\n", + "Epoch 60/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 28240974.0000 - val_loss: 1028744.1250\n", + "Epoch 61/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 8267383.0000 - val_loss: 23689754.0000\n", + "Epoch 62/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 28466922.0000 - val_loss: 2371051.5000\n", + "Epoch 63/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 11886582.0000 - val_loss: 3759434.5000\n", + "Epoch 64/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 17238242.0000 - val_loss: 20632208.0000\n", + "Epoch 65/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 15558097.0000 - val_loss: 11752444.0000\n", + "Epoch 66/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 11659177.0000 - val_loss: 29308972.0000\n", + "Epoch 67/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 25520794.0000 - val_loss: 3444145.7500\n", + "Epoch 68/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 12877326.0000 - val_loss: 18713958.0000\n", + "Epoch 69/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 7804359.5000 - val_loss: 21979914.0000\n", + "Epoch 70/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 14014680.0000 - val_loss: 13009955.0000\n", + "Epoch 71/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 24335876.0000 - val_loss: 2884347.2500\n", + "Epoch 72/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 8291568.0000 - val_loss: 18611500.0000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 73/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 20214242.0000 - val_loss: 6048789.0000\n", + "Epoch 74/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 8049525.5000 - val_loss: 18606354.0000\n", + "Epoch 75/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 21361216.0000 - val_loss: 15472894.0000\n", + "Epoch 76/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 18547564.0000 - val_loss: 2243396.5000\n", + "Epoch 77/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 10223916.0000 - val_loss: 10598846.0000\n", + "Epoch 78/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 9029205.0000 - val_loss: 23293514.0000\n", + "Epoch 79/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 22816960.0000 - val_loss: 3029035.5000\n", + "Epoch 80/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 11317585.0000 - val_loss: 13594921.0000\n", + "Epoch 81/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 6572984.5000 - val_loss: 13825354.0000\n", + "Epoch 82/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 26587480.0000 - val_loss: 6399176.0000\n", + "Epoch 83/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 14532983.0000 - val_loss: 5198289.5000\n", + "Epoch 84/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 6177338.0000 - val_loss: 18226198.0000\n", + "Epoch 85/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 19912102.0000 - val_loss: 8593960.0000\n", + "Epoch 86/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 13028536.0000 - val_loss: 3949520.5000\n", + "Epoch 87/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 7557470.5000 - val_loss: 16211955.0000\n", + "Epoch 88/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 14960667.0000 - val_loss: 18402952.0000\n", + "Epoch 89/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 11191028.0000 - val_loss: 18073202.0000\n", + "Epoch 90/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 19493014.0000 - val_loss: 6540310.0000\n", + "Epoch 91/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 8580490.0000 - val_loss: 17087570.0000\n", + "Epoch 92/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 19369540.0000 - val_loss: 2767453.0000\n", + "Epoch 93/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 10584032.0000 - val_loss: 7577464.0000\n", + "Epoch 94/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 13464018.0000 - val_loss: 11274538.0000\n", + "Epoch 95/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 7113166.5000 - val_loss: 18751716.0000\n", + "Epoch 96/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 21387356.0000 - val_loss: 2541247.7500\n", + "Epoch 97/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 10329738.0000 - val_loss: 2171571.5000\n", + "Epoch 98/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 13100171.0000 - val_loss: 2049332.7500\n", + "Epoch 99/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 10403070.0000 - val_loss: 5025943.0000\n", + "Epoch 100/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 6160227.0000 - val_loss: 15410223.0000\n", + "Epoch 101/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 10765024.0000 - val_loss: 15920134.0000\n", + "Epoch 102/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 22024716.0000 - val_loss: 2435847.7500\n", + "Epoch 103/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 9236266.0000 - val_loss: 8710680.0000\n", + "Epoch 104/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 14952453.0000 - val_loss: 3525261.0000\n", + "Epoch 105/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 9306943.0000 - val_loss: 10137604.0000\n", + "Epoch 106/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 13812914.0000 - val_loss: 3686815.7500\n", + "Epoch 107/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 11608834.0000 - val_loss: 2100594.7500\n", + "Epoch 108/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 8158466.5000 - val_loss: 12072977.0000\n", + "Epoch 109/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 14546438.0000 - val_loss: 1543555.0000\n", + "Epoch 110/200\n", + "82/82 [==============================] - 0s 997us/step - loss: 7496768.0000 - val_loss: 6627217.5000\n", + "Epoch 111/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 10548769.0000 - val_loss: 9055587.0000\n", + "Epoch 112/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 12541712.0000 - val_loss: 1493684.2500\n", + "Epoch 113/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 9382122.0000 - val_loss: 7850726.0000\n", + "Epoch 114/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 11640110.0000 - val_loss: 3519622.7500\n", + "Epoch 115/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 11666229.0000 - val_loss: 4444041.0000\n", + "Epoch 116/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 5246999.0000 - val_loss: 12864201.0000\n", + "Epoch 117/200\n", + "82/82 [==============================] - 0s 997us/step - loss: 16388024.0000 - val_loss: 3726860.2500\n", + "Epoch 118/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4647690.0000 - val_loss: 11410449.0000\n", + "Epoch 119/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 9423958.0000 - val_loss: 6253721.5000\n", + "Epoch 120/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 10927944.0000 - val_loss: 11034277.0000\n", + "Epoch 121/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 14909749.0000 - val_loss: 1575592.7500\n", + "Epoch 122/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 2425319.2500 - val_loss: 10037704.0000\n", + "Epoch 123/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 15906209.0000 - val_loss: 1153051.8750\n", + "Epoch 124/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4234555.5000 - val_loss: 1643350.1250\n", + "Epoch 125/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 10709845.0000 - val_loss: 7928113.5000\n", + "Epoch 126/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4120041.2500 - val_loss: 9284477.0000\n", + "Epoch 127/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 11452981.0000 - val_loss: 6903359.0000\n", + "Epoch 128/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 10778417.0000 - val_loss: 4675758.5000\n", + "Epoch 129/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 9351114.0000 - val_loss: 7085483.0000\n", + "Epoch 130/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4355069.0000 - val_loss: 5198496.5000\n", + "Epoch 131/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 14809592.0000 - val_loss: 1597696.6250\n", + "Epoch 132/200\n", + "82/82 [==============================] - 0s 973us/step - loss: 2592641.5000 - val_loss: 7064793.5000\n", + "Epoch 133/200\n", + "82/82 [==============================] - 0s 997us/step - loss: 14759432.0000 - val_loss: 1164670.3750\n", + "Epoch 134/200\n", + "82/82 [==============================] - 0s 943us/step - loss: 1201814.0000 - val_loss: 3920036.0000\n", + "Epoch 135/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 14986566.0000 - val_loss: 2580678.0000\n", + "Epoch 136/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 2047195.6250 - val_loss: 3796283.0000\n", + "Epoch 137/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 11187426.0000 - val_loss: 5330428.0000\n", + "Epoch 138/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 5046247.0000 - val_loss: 1032157.7500\n", + "Epoch 139/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 10134385.0000 - val_loss: 3527043.5000\n", + "Epoch 140/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4214658.0000 - val_loss: 2267091.5000\n", + "Epoch 141/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 11008722.0000 - val_loss: 3166006.2500\n", + "Epoch 142/200\n", + "82/82 [==============================] - 0s 937us/step - loss: 3660314.5000 - val_loss: 2431785.7500\n", + "Epoch 143/200\n", + "82/82 [==============================] - 0s 997us/step - loss: 11856936.0000 - val_loss: 594841.0625\n", + "Epoch 144/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 1659265.6250 - val_loss: 2118612.5000\n", + "Epoch 145/200\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "82/82 [==============================] - 0s 1ms/step - loss: 12860351.0000 - val_loss: 628993.1250\n", + "Epoch 146/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 754330.6875 - val_loss: 1049692.8750\n", + "Epoch 147/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 10307674.0000 - val_loss: 224322.7188\n", + "Epoch 148/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 1260765.3750 - val_loss: 895075.0625\n", + "Epoch 149/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 9195741.0000 - val_loss: 70556.4766\n", + "Epoch 150/200\n", + "82/82 [==============================] - 0s 997us/step - loss: 2098403.2500 - val_loss: 7015.3384\n", + "Epoch 151/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 7965381.5000 - val_loss: 24761.1973\n", + "Epoch 152/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 2511019.5000 - val_loss: 21945.6465\n", + "Epoch 153/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 7698982.5000 - val_loss: 193610.7031\n", + "Epoch 154/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 2393481.5000 - val_loss: 62017.4375\n", + "Epoch 155/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 7452348.5000 - val_loss: 80116.7266\n", + "Epoch 156/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 2632657.5000 - val_loss: 11200.1592\n", + "Epoch 157/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 6817772.5000 - val_loss: 52829.7500\n", + "Epoch 158/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 2975950.0000 - val_loss: 321499.3125\n", + "Epoch 159/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 6468997.5000 - val_loss: 5968.5615\n", + "Epoch 160/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3122977.0000 - val_loss: 85632.2734\n", + "Epoch 161/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 5915599.0000 - val_loss: 86762.7578\n", + "Epoch 162/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3326417.5000 - val_loss: 129457.3984\n", + "Epoch 163/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 5580565.5000 - val_loss: 45658.1758\n", + "Epoch 164/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3209935.2500 - val_loss: 19752.7402\n", + "Epoch 165/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4915482.0000 - val_loss: 48364.7148\n", + "Epoch 166/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3795387.7500 - val_loss: 130200.0391\n", + "Epoch 167/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4461557.5000 - val_loss: 111747.3828\n", + "Epoch 168/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3725467.5000 - val_loss: 67616.3281\n", + "Epoch 169/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3924492.2500 - val_loss: 56415.0352\n", + "Epoch 170/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3874328.7500 - val_loss: 37727.3320\n", + "Epoch 171/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3629754.7500 - val_loss: 53777.6914\n", + "Epoch 172/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3982618.0000 - val_loss: 204984.8750\n", + "Epoch 173/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3228383.7500 - val_loss: 74121.7422\n", + "Epoch 174/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4063461.5000 - val_loss: 114585.8047\n", + "Epoch 175/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 2769557.2500 - val_loss: 252786.5469\n", + "Epoch 176/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4181383.5000 - val_loss: 134678.7500\n", + "Epoch 177/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 2368546.0000 - val_loss: 189054.5625\n", + "Epoch 178/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4056326.0000 - val_loss: 58977.3516\n", + "Epoch 179/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 1853546.1250 - val_loss: 25996.4727\n", + "Epoch 180/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4275273.5000 - val_loss: 99037.8125\n", + "Epoch 181/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 1434395.1250 - val_loss: 5419.2510\n", + "Epoch 182/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4325826.0000 - val_loss: 53655.3672\n", + "Epoch 183/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 985096.3750 - val_loss: 210394.5469\n", + "Epoch 184/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4169751.2500 - val_loss: 210306.0156\n", + "Epoch 185/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 791127.5000 - val_loss: 150101.9688\n", + "Epoch 186/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 4138325.5000 - val_loss: 192279.4531\n", + "Epoch 187/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 414047.2500 - val_loss: 158722.0469\n", + "Epoch 188/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3987065.0000 - val_loss: 12908.9121\n", + "Epoch 189/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 254805.7812 - val_loss: 45815.8477\n", + "Epoch 190/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 3851140.7500 - val_loss: 52833.3125\n", + "Epoch 191/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 181956.0312 - val_loss: 24147.2051\n", + "Epoch 192/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 3904880.2500 - val_loss: 130127.0078\n", + "Epoch 193/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 330673.4062 - val_loss: 13399.5811\n", + "Epoch 194/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 3056808.5000 - val_loss: 48700.1758\n", + "Epoch 195/200\n", + "82/82 [==============================] - 0s 2ms/step - loss: 887966.2500 - val_loss: 63569.2383\n", + "Epoch 196/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 2319227.0000 - val_loss: 11648.7744\n", + "Epoch 197/200\n", + "82/82 [==============================] - 0s 985us/step - loss: 956736.5625 - val_loss: 6615.1562\n", + "Epoch 198/200\n", + "82/82 [==============================] - 0s 1ms/step - loss: 1892682.2500 - val_loss: 54203.6367\n", + "Epoch 199/200\n", + "82/82 [==============================] - 0s 985us/step - loss: 1189259.8750 - val_loss: 37861.7188\n", + "Epoch 200/200\n", + "82/82 [==============================] - 0s 973us/step - loss: 1433601.1250 - val_loss: 110069.3516\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 337, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model = create_mlp(trainX.shape[1], regress=True)\n", + "opt = Adam(lr=1e-3, decay=1e-3 / 200)\n", + "model.compile(loss=\"mean_absolute_percentage_error\", optimizer=opt)\n", + "# train the model\n", + "print(\"[INFO] training model...\")\n", + "model.fit(x=trainX, y=trainY, \n", + " validation_data=(testX, testY),\n", + " epochs=200, batch_size=8)" + ] + }, + { + "cell_type": "code", + "execution_count": 338, + "id": "ready-proposal", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[INFO] predicting house prices...\n", + "[INFO] avg. house price: 3.6639035418236623, std house price: 4.457618504286079\n", + "[INFO] mean: inf%, std: nan%\n" + ] + } + ], + "source": [ + "print(\"[INFO] predicting house prices...\")\n", + "preds = model.predict(testX)\n", + "# compute the difference between the *predicted* house prices and the\n", + "# *actual* house prices, then compute the percentage difference and\n", + "# the absolute percentage difference\n", + "diff = preds.flatten() - testY\n", + "percentDiff = (diff / testY) * 100\n", + "absPercentDiff = np.abs(percentDiff)\n", + "# compute the mean and standard deviation of the absolute percentage\n", + "# difference\n", + "mean = np.mean(absPercentDiff)\n", + "std = np.std(absPercentDiff)\n", + "# finally, show some statistics on our model\n", + "print(\"[INFO] avg. house price: {}, std house price: {}\".format(\n", + " df[\"History_class\"].astype('int64').mean(),\n", + " df[\"History_class\"].astype('int64').std()))\n", + "print(\"[INFO] mean: {}%, std: {}%\".format(mean, std))" + ] + }, + { + "cell_type": "code", + "execution_count": 327, + "id": "mounted-tobago", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "9" + ] + }, + "execution_count": 327, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(testX[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 329, + "id": "martial-flesh", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "X=[ 1 1 0 10 10 10 44 0 0], Predicted=[-0.]\n" + ] + } + ], + "source": [ + "Xnew = testX[0:3]\n", + "# make a prediction\n", + "ynew = model.predict(Xnew)\n", + "# show the inputs and predicted outputs\n", + "print(\"X=%s, Predicted=%s\" % (Xnew[0], ynew[0]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "variable-fancy", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "loving-space", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "continuous-manner", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "isolated-square", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "absent-vehicle", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "coupled-conducting", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "impossible-reception", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 227, + "id": "developmental-morocco", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "\n", + "\n", + "# Make numpy printouts easier to read.\n", + "np.set_printoptions(precision=3, suppress=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 228, + "id": "grateful-documentary", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2.3.1\n" + ] + } + ], + "source": [ + "import tensorflow as tf\n", + "\n", + "from tensorflow import keras\n", + "from tensorflow.keras import layers\n", + "from tensorflow.keras.layers.experimental import preprocessing\n", + "\n", + "print(tf.__version__)" + ] + }, + { + "cell_type": "code", + "execution_count": 225, + "id": "forced-british", + "metadata": {}, + "outputs": [], + "source": [ + "train_dataset = dfR.sample(frac=0.8, random_state=0)\n", + "test_dataset = dfR.drop(train_dataset.index)" + ] + }, + { + "cell_type": "code", + "execution_count": 229, + "id": "portable-sierra", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\seaborn\\distributions.py:306: UserWarning: Dataset has 0 variance; skipping density estimate.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 229, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.pairplot(train_dataset[['cancer_dx_age', 'consent_approval', 'known_brca', 'known_cancer']], diag_kind='kde')" + ] + }, + { + "cell_type": "code", + "execution_count": 230, + "id": "historic-shame", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
countmeanstdmin25%50%75%max
History_class650.03.6615384.4558330.00.01.010.011.0
Pathogenic650.00.0538460.2258880.00.00.00.01.0
cancer_dx650.01.4015381.8595521.01.01.01.010.0
cancer_dx_age650.02.99076912.0103930.00.00.00.073.0
consent_approval650.010.0000000.00000010.010.010.010.010.0
known_brca650.00.3800001.8129560.00.00.00.010.0
known_cancer650.02.1907693.0517731.01.01.01.010.0
rel_age_1650.060.795385261.9782970.00.050.062.04555.0
rel_age_2650.039.901538214.1898330.00.00.060.05060.0
rel_age_3650.024.506154131.7350870.00.00.045.02570.0
\n", + "
" + ], + "text/plain": [ + " count mean std min 25% 50% 75% max\n", + "History_class 650.0 3.661538 4.455833 0.0 0.0 1.0 10.0 11.0\n", + "Pathogenic 650.0 0.053846 0.225888 0.0 0.0 0.0 0.0 1.0\n", + "cancer_dx 650.0 1.401538 1.859552 1.0 1.0 1.0 1.0 10.0\n", + "cancer_dx_age 650.0 2.990769 12.010393 0.0 0.0 0.0 0.0 73.0\n", + "consent_approval 650.0 10.000000 0.000000 10.0 10.0 10.0 10.0 10.0\n", + "known_brca 650.0 0.380000 1.812956 0.0 0.0 0.0 0.0 10.0\n", + "known_cancer 650.0 2.190769 3.051773 1.0 1.0 1.0 1.0 10.0\n", + "rel_age_1 650.0 60.795385 261.978297 0.0 0.0 50.0 62.0 4555.0\n", + "rel_age_2 650.0 39.901538 214.189833 0.0 0.0 0.0 60.0 5060.0\n", + "rel_age_3 650.0 24.506154 131.735087 0.0 0.0 0.0 45.0 2570.0" + ] + }, + "execution_count": 230, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_dataset.describe().transpose()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "worthy-worship", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 232, + "id": "international-stroke", + "metadata": {}, + "outputs": [], + "source": [ + "train_features = train_dataset.copy()\n", + "test_features = test_dataset.copy()\n", + "\n", + "train_labels = train_features.pop('History_class')\n", + "test_labels = test_features.pop('History_class')" + ] + }, + { + "cell_type": "code", + "execution_count": 233, + "id": "stunning-assurance", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
meanstd
History_class3.6615384.455833
Pathogenic0.0538460.225888
cancer_dx1.4015381.859552
cancer_dx_age2.99076912.010393
consent_approval10.0000000.000000
known_brca0.3800001.812956
known_cancer2.1907693.051773
rel_age_160.795385261.978297
rel_age_239.901538214.189833
rel_age_324.506154131.735087
\n", + "
" + ], + "text/plain": [ + " mean std\n", + "History_class 3.661538 4.455833\n", + "Pathogenic 0.053846 0.225888\n", + "cancer_dx 1.401538 1.859552\n", + "cancer_dx_age 2.990769 12.010393\n", + "consent_approval 10.000000 0.000000\n", + "known_brca 0.380000 1.812956\n", + "known_cancer 2.190769 3.051773\n", + "rel_age_1 60.795385 261.978297\n", + "rel_age_2 39.901538 214.189833\n", + "rel_age_3 24.506154 131.735087" + ] + }, + "execution_count": 233, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_dataset.describe().transpose()[['mean', 'std']]" + ] + }, + { + "cell_type": "code", + "execution_count": 234, + "id": "indie-bumper", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.054 1.402 2.991 10. 0.38 2.191 60.795 39.902 24.506]\n" + ] + } + ], + "source": [ + "normalizer = preprocessing.Normalization()\n", + "normalizer.adapt(np.array(train_features))\n", + "print(normalizer.mean.numpy())" + ] + }, + { + "cell_type": "code", + "execution_count": 236, + "id": "smaller-polyester", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "First example: [[ 1 1 0 10 0 1 72 32 0]]\n", + "\n", + "Normalized: [[ 4.19 -0.22 -0.25 nan -0.21 -0.39 0.04 -0.04 -0.19]]\n" + ] + } + ], + "source": [ + "first = np.array(train_features[:1])\n", + "\n", + "with np.printoptions(precision=2, suppress=True):\n", + " print('First example:', first)\n", + " print()\n", + " print('Normalized:', normalizer(first).numpy())" + ] + }, + { + "cell_type": "code", + "execution_count": 237, + "id": "educational-mouse", + "metadata": {}, + "outputs": [], + "source": [ + "horsepower = np.array(train_features['cancer_dx_age'])\n", + "\n", + "horsepower_normalizer = preprocessing.Normalization(input_shape=[1,])\n", + "horsepower_normalizer.adapt(horsepower)" + ] + }, + { + "cell_type": "code", + "execution_count": 238, + "id": "meaningful-portland", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "normalization_1 (Normalizati (None, 1) 3 \n", + "_________________________________________________________________\n", + "dense (Dense) (None, 1) 2 \n", + "=================================================================\n", + "Total params: 5\n", + "Trainable params: 2\n", + "Non-trainable params: 3\n", + "_________________________________________________________________\n" + ] + } + ], + "source": [ + "horsepower_model = tf.keras.Sequential([\n", + " horsepower_normalizer,\n", + " layers.Dense(units=1)\n", + "])\n", + "\n", + "horsepower_model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 239, + "id": "driven-cigarette", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[0.135],\n", + " [0.135],\n", + " [0.135],\n", + " [0.135],\n", + " [0.135],\n", + " [0.135],\n", + " [0.135],\n", + " [0.135],\n", + " [0.135],\n", + " [0.135]], dtype=float32)" + ] + }, + "execution_count": 239, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "horsepower_model.predict(horsepower[:10])" + ] + }, + { + "cell_type": "code", + "execution_count": 240, + "id": "occasional-stack", + "metadata": {}, + "outputs": [], + "source": [ + "horsepower_model.compile(\n", + " optimizer=tf.optimizers.Adam(learning_rate=0.1),\n", + " loss='mean_absolute_error')" + ] + }, + { + "cell_type": "code", + "execution_count": 242, + "id": "young-robert", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wall time: 3.25 s\n" + ] + } + ], + "source": [ + "%%time\n", + "history = horsepower_model.fit(\n", + " train_features['cancer_dx_age'], train_labels,\n", + " epochs=100,\n", + " # suppress logging\n", + " verbose=0,\n", + " # Calculate validation results on 20% of the training data\n", + " validation_split = 0.2)" + ] + }, + { + "cell_type": "code", + "execution_count": 243, + "id": "macro-blocking", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
lossval_lossepoch
953.1700103.35976395
963.1618173.36866496
973.1577053.35307397
983.1576393.35841998
993.1540583.35506899
\n", + "
" + ], + "text/plain": [ + " loss val_loss epoch\n", + "95 3.170010 3.359763 95\n", + "96 3.161817 3.368664 96\n", + "97 3.157705 3.353073 97\n", + "98 3.157639 3.358419 98\n", + "99 3.154058 3.355068 99" + ] + }, + "execution_count": 243, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hist = pd.DataFrame(history.history)\n", + "hist['epoch'] = history.epoch\n", + "hist.tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 266, + "id": "auburn-persian", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
lossval_lossepoch
03.3848453.4450420
13.2014653.4001801
23.1790743.3750162
33.1594793.3612333
43.1605203.3622854
............
953.1700103.35976395
963.1618173.36866496
973.1577053.35307397
983.1576393.35841998
993.1540583.35506899
\n", + "

100 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " loss val_loss epoch\n", + "0 3.384845 3.445042 0\n", + "1 3.201465 3.400180 1\n", + "2 3.179074 3.375016 2\n", + "3 3.159479 3.361233 3\n", + "4 3.160520 3.362285 4\n", + ".. ... ... ...\n", + "95 3.170010 3.359763 95\n", + "96 3.161817 3.368664 96\n", + "97 3.157705 3.353073 97\n", + "98 3.157639 3.358419 98\n", + "99 3.154058 3.355068 99\n", + "\n", + "[100 rows x 3 columns]" + ] + }, + "execution_count": 266, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hist" + ] + }, + { + "cell_type": "code", + "execution_count": 246, + "id": "latter-boards", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_loss(history):\n", + " plt.plot(history.history['loss'], label='loss')\n", + " plt.plot(history.history['val_loss'], label='val_loss')\n", + " plt.ylim([0, 10])\n", + " plt.xlabel('Epoch')\n", + " plt.ylabel('Error [History_Class]')\n", + " plt.legend()\n", + " plt.grid(True)" + ] + }, + { + "cell_type": "code", + "execution_count": 247, + "id": "national-denial", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_loss(history)" + ] + }, + { + "cell_type": "code", + "execution_count": 268, + "id": "russian-malpractice", + "metadata": {}, + "outputs": [], + "source": [ + "test_results = {}\n", + "\n", + "test_results['History_class'] = horsepower_model.evaluate(\n", + " test_features['cancer_dx_age'],\n", + " test_labels, verbose=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 269, + "id": "lined-monday", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'History_class': 3.4849538803100586}" + ] + }, + "execution_count": 269, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_results" + ] + }, + { + "cell_type": "code", + "execution_count": 250, + "id": "standard-raising", + "metadata": {}, + "outputs": [], + "source": [ + "x = tf.linspace(0.0, 250, 251)\n", + "y = horsepower_model.predict(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 253, + "id": "unnecessary-integer", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_horsepower(x, y):\n", + " plt.scatter(train_features['cancer_dx_age'], train_labels, label='Data')\n", + " plt.plot(x, y, color='k', label='Predictions')\n", + " plt.xlabel('cancer_dx_age')\n", + " plt.ylabel('History_Class')\n", + " plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 254, + "id": "fallen-entrance", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_horsepower(x,y)" + ] + }, + { + "cell_type": "code", + "execution_count": 255, + "id": "dated-increase", + "metadata": {}, + "outputs": [], + "source": [ + "linear_model = tf.keras.Sequential([\n", + " normalizer,\n", + " layers.Dense(units=1)\n", + "])" + ] + }, + { + "cell_type": "code", + "execution_count": 256, + "id": "ahead-rebel", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[nan],\n", + " [nan],\n", + " [nan],\n", + " [nan],\n", + " [nan],\n", + " [nan],\n", + " [nan],\n", + " [nan],\n", + " [nan],\n", + " [nan]], dtype=float32)" + ] + }, + "execution_count": 256, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "linear_model.predict(train_features[:10])" + ] + }, + { + "cell_type": "code", + "execution_count": 257, + "id": "enormous-efficiency", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 257, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "linear_model.layers[1].kernel" + ] + }, + { + "cell_type": "code", + "execution_count": 258, + "id": "returning-ownership", + "metadata": {}, + "outputs": [], + "source": [ + "linear_model.compile(\n", + " optimizer=tf.optimizers.Adam(learning_rate=0.1),\n", + " loss='mean_absolute_error')" + ] + }, + { + "cell_type": "code", + "execution_count": 259, + "id": "perceived-virus", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wall time: 3.25 s\n" + ] + } + ], + "source": [ + "%%time\n", + "history = linear_model.fit(\n", + " train_features, train_labels, \n", + " epochs=100,\n", + " # suppress logging\n", + " verbose=0,\n", + " # Calculate validation results on 20% of the training data\n", + " validation_split = 0.2)" + ] + }, + { + "cell_type": "code", + "execution_count": 260, + "id": "passive-license", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_loss(history)" + ] + }, + { + "cell_type": "code", + "execution_count": 261, + "id": "violent-knock", + "metadata": {}, + "outputs": [], + "source": [ + "test_results['linear_model'] = linear_model.evaluate(\n", + " test_features, test_labels, verbose=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 262, + "id": "urban-snowboard", + "metadata": {}, + "outputs": [], + "source": [ + "def build_and_compile_model(norm):\n", + " model = keras.Sequential([\n", + " norm,\n", + " layers.Dense(64, activation='relu'),\n", + " layers.Dense(64, activation='relu'),\n", + " layers.Dense(1)\n", + " ])\n", + "\n", + " model.compile(loss='mean_absolute_error',\n", + " optimizer=tf.keras.optimizers.Adam(0.001))\n", + " return model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "artistic-spray", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "incorporated-advantage", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "great-joint", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "silver-scene", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "august-single", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "active-evanescence", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(dfArray, columns = ['Gene', 'History_class', 'Pathogenic','_method', 'cancer_dx','cancer_dx_age',\n", + " 'cancer_dx_type', 'consent_approval','ethnicity_1','ethnicity_2', 'known_brca', \n", + " 'known_cancer', 'other_cancer', 'rel_age_1', 'rel_age_2', 'rel_age_3', 'rel_cancer', \n", + " 'rel_relation', 'relationships'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "tamil-coating", + "metadata": {}, + "outputs": [], + "source": [ + "df['Gene'] = df['Gene'].astype('string')\n", + "df['History_class'] = df['History_class'].astype('string')\n", + "df['Pathogenic'] = df['Pathogenic'].astype('string')\n", + "df['_method'] = df['_method'].astype('string')\n", + "df['cancer_dx'] = df['cancer_dx'].astype('string')\n", + "df['cancer_dx_type'] = df['cancer_dx_type'].astype('string')\n", + "df['consent_approval'] = df['consent_approval'].astype('string')\n", + "df['ethnicity_1'] = df['ethnicity_1'].astype('string')\n", + "df['ethnicity_2'] = df['ethnicity_2'].astype('string')\n", + "df['known_brca'] = df['known_brca'].astype('string')\n", + "df['known_cancer'] = df['known_cancer'].astype('string')\n", + "df['other_cancer'] = df['other_cancer'].astype('string')\n", + "df['relationships'] = df['relationships'].astype('string')\n", + " \n", + "df['rel_cancer'] = df['rel_cancer'].astype('string')\n", + "df['rel_relation'] = df['rel_relation'].astype('string')\n", + "\n", + "\n", + "df['rel_age_1'] = df['rel_age_1'].astype('int64')\n", + "df['rel_age_2'] = df['rel_age_2'].astype('int64')\n", + "df['rel_age_3'] = df['rel_age_3'].astype('int64')\n", + "df['cancer_dx_age'] = df['cancer_dx_age'].astype('int64')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "about-square", + "metadata": {}, + "outputs": [], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "moral-salad", + "metadata": {}, + "outputs": [], + "source": [ + "dfR = df.drop(['Gene','Pathogenic','_method', 'relationships', 'consent_approval', 'History_class'], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "swiss-intelligence", + "metadata": {}, + "outputs": [], + "source": [ + "df.to_excel(\"output.xlsx\") " + ] + }, + { + "cell_type": "markdown", + "id": "negative-fireplace", + "metadata": {}, + "source": [ + "# Here we go again" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "major-token", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "similar-battery", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "great-mexican", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "another-welding", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 202, + "id": "impressed-violence", + "metadata": {}, + "outputs": [], + "source": [ + "import tensorflow as tf\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.datasets import load_iris\n", + "from sklearn.model_selection import train_test_split" + ] + }, + { + "cell_type": "code", + "execution_count": 203, + "id": "aggregate-hungary", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import train_test_split" + ] + }, + { + "cell_type": "code", + "execution_count": 204, + "id": "medieval-secondary", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([['11', '0', '10', ..., '70', '01001000000110000000100000000000',\n", + " '000000000001000'],\n", + " ['11', '0', '01', ..., '00000000000000000000000000000000',\n", + " '000000000000000', ],\n", + " ['11', '0', '10', ..., '00000010000000000000000000000001',\n", + " '100010000000010', ],\n", + " ...,\n", + " ['00', '0', '01', ..., '0', '00000000000000000000000000000000',\n", + " '000000000000000'],\n", + " ['00', '0', '01', ..., '0', '00000000000000000000000000000000',\n", + " '000001000000000'],\n", + " ['00', '0', '01', ..., '0', '00000000000000000000000000000000',\n", + " '000000000000000']], dtype=object)" + ] + }, + "execution_count": 204, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.values" + ] + }, + { + "cell_type": "code", + "execution_count": 205, + "id": "entertaining-differential", + "metadata": {}, + "outputs": [], + "source": [ + "X = df.drop(['Pathogenic', 'consent_approval'], axis=1).to_numpy()\n", + "y = df[\"History_class\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 206, + "id": "incorrect-result", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['11', '10', '57', '100000000000000000000000', '00', '10', '55',\n", + " '64', '70', '01001000000110000000100000000000', '000000000001000'],\n", + " dtype=object)" + ] + }, + "execution_count": 206, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 207, + "id": "thirty-bride", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 208, + "id": "arbitrary-reservoir", + "metadata": {}, + "outputs": [], + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "linear_model = SimpleLinearRegression('zeros')\n", + "linear_model.train(x_train_norm, y_train_norm, learning_rate=0.1, epochs=50)" + ] + }, + { + "cell_type": "code", + "execution_count": 209, + "id": "returning-learning", + "metadata": {}, + "outputs": [], + "source": [ + "X_train = X_train.astype(np.str)\n", + "y_train = y_train.astype(np.str)" + ] + }, + { + "cell_type": "code", + "execution_count": 221, + "id": "radio-robert", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([['10', '01', '0', ..., '61', '00001000000000000000000000000000',\n", + " '101000000101000'],\n", + " ['10', '01', '0', ..., '00001000000000000000000000100000',\n", + " '100001100000000', ''],\n", + " ['01', '01', '0', ..., '0', '00100000000001000000000000000000',\n", + " '000000100000001'],\n", + " ...,\n", + " ['00', '01', '0', ..., '0', '00000000000000000000000000000000',\n", + " '000000000000000'],\n", + " ['01', '01', '0', ..., '0', '00010000000000000000000000000000',\n", + " '100000000000000'],\n", + " ['00', '01', '0', ..., '0', '00000000000010000000000000000000',\n", + " '100000000000000']], dtype='\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_train\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py\u001b[0m in \u001b[0;36m_method_wrapper\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 106\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_method_wrapper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 107\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_in_multi_worker_mode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;31m# pylint: disable=protected-access\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 108\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 109\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 110\u001b[0m \u001b[1;31m# Running inside `run_distribute_coordinator` already.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing)\u001b[0m\n\u001b[0;32m 1096\u001b[0m batch_size=batch_size):\n\u001b[0;32m 1097\u001b[0m \u001b[0mcallbacks\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mon_train_batch_begin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstep\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1098\u001b[1;33m \u001b[0mtmp_logs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtrain_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0miterator\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1099\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mdata_handler\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshould_sync\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1100\u001b[0m \u001b[0mcontext\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masync_wait\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 778\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 779\u001b[0m \u001b[0mcompiler\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"nonXla\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 780\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 781\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 782\u001b[0m \u001b[0mnew_tracing_count\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_tracing_count\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m_call\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 812\u001b[0m \u001b[1;31m# In this case we have not created variables on the first call. So we can\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 813\u001b[0m \u001b[1;31m# run the first trace but we should fail if variables are created.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 814\u001b[1;33m \u001b[0mresults\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_stateful_fn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 815\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_created_variables\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 816\u001b[0m raise ValueError(\"Creating variables on a non-first call to a function\"\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 2826\u001b[0m \u001b[1;34m\"\"\"Calls a graph function specialized to the inputs.\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2827\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_lock\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2828\u001b[1;33m \u001b[0mgraph_function\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maybe_define_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2829\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_filtered_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# pylint: disable=protected-access\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2830\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_maybe_define_function\u001b[1;34m(self, args, kwargs)\u001b[0m\n\u001b[0;32m 3208\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minput_signature\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3209\u001b[0m and call_context_key in self._function_cache.missed):\n\u001b[1;32m-> 3210\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_define_function_with_shape_relaxation\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3211\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3212\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_function_cache\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmissed\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcall_context_key\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_define_function_with_shape_relaxation\u001b[1;34m(self, args, kwargs)\u001b[0m\n\u001b[0;32m 3139\u001b[0m expand_composites=True)\n\u001b[0;32m 3140\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3141\u001b[1;33m graph_function = self._create_graph_function(\n\u001b[0m\u001b[0;32m 3142\u001b[0m args, kwargs, override_flat_arg_shapes=relaxed_arg_shapes)\n\u001b[0;32m 3143\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_function_cache\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marg_relaxed\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mrank_only_cache_key\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_create_graph_function\u001b[1;34m(self, args, kwargs, override_flat_arg_shapes)\u001b[0m\n\u001b[0;32m 3063\u001b[0m \u001b[0marg_names\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbase_arg_names\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mmissing_arg_names\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3064\u001b[0m graph_function = ConcreteFunction(\n\u001b[1;32m-> 3065\u001b[1;33m func_graph_module.func_graph_from_py_func(\n\u001b[0m\u001b[0;32m 3066\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_name\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3067\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_python_function\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\framework\\func_graph.py\u001b[0m in \u001b[0;36mfunc_graph_from_py_func\u001b[1;34m(name, python_func, args, kwargs, signature, func_graph, autograph, autograph_options, add_control_dependencies, arg_names, op_return_value, collections, capture_by_value, override_flat_arg_shapes)\u001b[0m\n\u001b[0;32m 984\u001b[0m \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moriginal_func\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf_decorator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munwrap\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpython_func\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 985\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 986\u001b[1;33m \u001b[0mfunc_outputs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpython_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mfunc_args\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mfunc_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 987\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 988\u001b[0m \u001b[1;31m# invariant: `func_outputs` contains only Tensors, CompositeTensors,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36mwrapped_fn\u001b[1;34m(*args, **kwds)\u001b[0m\n\u001b[0;32m 598\u001b[0m \u001b[1;31m# __wrapped__ allows AutoGraph to swap in a converted function. We give\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 599\u001b[0m \u001b[1;31m# the function a weak reference to itself to avoid a reference cycle.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 600\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mweak_wrapped_fn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__wrapped__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 601\u001b[0m \u001b[0mweak_wrapped_fn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mweakref\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mref\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwrapped_fn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 602\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\framework\\func_graph.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 971\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;31m# pylint:disable=broad-except\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 972\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"ag_error_metadata\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 973\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mag_error_metadata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_exception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 974\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 975\u001b[0m \u001b[1;32mraise\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mAssertionError\u001b[0m: in user code:\n\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:806 train_function *\n return step_function(self, iterator)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:796 step_function **\n outputs = model.distribute_strategy.run(run_step, args=(data,))\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:1211 run\n return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2585 call_for_each_replica\n return self._call_for_each_replica(fn, args, kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2945 _call_for_each_replica\n return fn(*args, **kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:789 run_step **\n outputs = model.train_step(data)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:747 train_step\n y_pred = self(x, training=True)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\base_layer.py:985 __call__\n outputs = call_fn(inputs, *args, **kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:385 call\n return self._run_internal_graph(\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:517 _run_internal_graph\n assert x_id in tensor_dict, 'Could not compute output ' + str(x)\n\n AssertionError: Could not compute output Tensor(\"Outputlayer/Sigmoid_3:0\", shape=(None, 1), dtype=float32)\n" + ] + } + ], + "source": [ + "model.fit(X_train, y_train)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bored-wings", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "existing-ending", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cardiac-default", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "civil-biotechnology", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "endless-marsh", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "further-place", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "productive-grounds", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "institutional-cambridge", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "sweet-measure", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "velvet-dance", + "metadata": {}, + "source": [ + "# Lets do this" + ] + }, + { + "cell_type": "code", + "execution_count": 189, + "id": "rotary-moment", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import math\n", + "import tensorflow as tf\n", + "import numpy as np\n", + "from numpy import unique\n", + "import pandas as pd\n", + "from tensorflow import keras\n", + "from tensorflow.keras import layers\n", + "from tensorflow.keras.callbacks import ModelCheckpoint, Callback, TensorBoard" + ] + }, + { + "cell_type": "code", + "execution_count": 190, + "id": "dangerous-bailey", + "metadata": {}, + "outputs": [], + "source": [ + "dataframe = dfR" + ] + }, + { + "cell_type": "code", + "execution_count": 191, + "id": "younger-click", + "metadata": {}, + "outputs": [], + "source": [ + "val_dataframe = dataframe.sample(frac=0.2, random_state=1337)\n", + "pred_dataframe = dataframe.sample(frac=0.1, random_state=15)\n", + "train_dataframe = dataframe.drop(val_dataframe.index)" + ] + }, + { + "cell_type": "code", + "execution_count": 192, + "id": "reserved-symphony", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using 650 samples for training, 163 for validation and 81 for predicting\n", + "Input: {'Pathogenic': , 'cancer_dx': , 'cancer_dx_age': , 'consent_approval': , 'known_brca': , 'known_cancer': , 'rel_age_1': , 'rel_age_2': , 'rel_age_3': }\n", + "Target: tf.Tensor(1, shape=(), dtype=int64)\n" + ] + } + ], + "source": [ + "print(\"Using %d samples for training, %d for validation and %d for predicting\" \n", + " % (len(train_dataframe), len(val_dataframe), len(pred_dataframe)))\n", + "\n", + "def dataframe_to_dataset(dataframe):\n", + " dataframe = dataframe.copy()\n", + " labels = dataframe.pop(\"History_class\")\n", + " ds = tf.data.Dataset.from_tensor_slices((dict(dataframe), labels))\n", + " ds = ds.shuffle(buffer_size=len(dataframe))\n", + " return ds\n", + "\n", + "\n", + "def pred_dataframe_to_dataset(dataframe):\n", + " dataframe = dataframe.copy()\n", + " ds = tf.data.Dataset.from_tensor_slices((dict(dataframe)))\n", + " ds = ds.shuffle(buffer_size=len(dataframe))\n", + " return ds\n", + "\n", + "\n", + "\n", + "train_ds = dataframe_to_dataset(train_dataframe)\n", + "val_ds = dataframe_to_dataset(val_dataframe)\n", + "pred_ds = pred_dataframe_to_dataset(pred_dataframe)\n", + "\n", + "for x, y in train_ds.take(1):\n", + " print(\"Input:\", x)\n", + " print(\"Target:\", y)\n", + "\n", + "train_ds = train_ds.batch(32)\n", + "val_ds = val_ds.batch(32)" + ] + }, + { + "cell_type": "code", + "execution_count": 193, + "id": "african-april", + "metadata": {}, + "outputs": [], + "source": [ + "from tensorflow.keras.layers.experimental.preprocessing import Normalization\n", + "from tensorflow.keras.layers.experimental.preprocessing import CategoryEncoding\n", + "from tensorflow.keras.layers.experimental.preprocessing import StringLookup\n", + "\n", + "\n", + "def encode_numerical_feature(feature, name, dataset):\n", + " # Create a Normalization layer for our feature\n", + " normalizer = Normalization()\n", + "\n", + " # Prepare a Dataset that only yields our feature\n", + " feature_ds = dataset.map(lambda x, y: x[name])\n", + " feature_ds = feature_ds.map(lambda x: tf.expand_dims(x, -1))\n", + "\n", + " # Learn the statistics of the data\n", + " normalizer.adapt(feature_ds)\n", + "\n", + " # Normalize the input feature\n", + " encoded_feature = normalizer(feature)\n", + " return encoded_feature\n", + "\n", + "\n", + "def encode_string_categorical_feature(feature, name, dataset):\n", + " # Create a StringLookup layer which will turn strings into integer indices\n", + " index = StringLookup()\n", + "\n", + " # Prepare a Dataset that only yields our feature\n", + " feature_ds = dataset.map(lambda x, y: x[name])\n", + " feature_ds = feature_ds.map(lambda x: tf.expand_dims(x, -1))\n", + "\n", + " # Learn the set of possible string values and assign them a fixed integer index\n", + " index.adapt(feature_ds)\n", + "\n", + " # Turn the string input into integer indices\n", + " encoded_feature = index(feature)\n", + "\n", + " # Create a CategoryEncoding for our integer indices\n", + " encoder = CategoryEncoding(output_mode=\"binary\")\n", + "\n", + " # Prepare a dataset of indices\n", + " feature_ds = feature_ds.map(index)\n", + "\n", + " # Learn the space of possible indices\n", + " encoder.adapt(feature_ds)\n", + "\n", + " # Apply one-hot encoding to our indices\n", + " encoded_feature = encoder(encoded_feature)\n", + " return encoded_feature\n", + "\n", + "\n", + "def encode_integer_categorical_feature(feature, name, dataset):\n", + " # Create a CategoryEncoding for our integer indices\n", + " encoder = CategoryEncoding(output_mode=\"binary\")\n", + "\n", + " # Prepare a Dataset that only yields our feature\n", + " feature_ds = dataset.map(lambda x, y: x[name])\n", + " feature_ds = feature_ds.map(lambda x: tf.expand_dims(x, -1))\n", + "\n", + " # Learn the space of possible indices\n", + " encoder.adapt(feature_ds)\n", + "\n", + " # Apply one-hot encoding to our indices\n", + " encoded_feature = encoder(feature)\n", + " return encoded_feature" + ] + }, + { + "cell_type": "code", + "execution_count": 194, + "id": "smoking-worcester", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "History_class int64\n", + "Pathogenic int64\n", + "cancer_dx int64\n", + "cancer_dx_age int64\n", + "consent_approval int64\n", + "known_brca int64\n", + "known_cancer int64\n", + "rel_age_1 int64\n", + "rel_age_2 int64\n", + "rel_age_3 int64\n", + "dtype: object" + ] + }, + "execution_count": 194, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataframe.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "worthy-payroll", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 215, + "id": "alternative-hello", + "metadata": {}, + "outputs": [], + "source": [ + "Pathogenic = keras.Input(shape=(11,), name=\"Pathogenic\", dtype=\"int64\")\n", + "Cancer_Dx = keras.Input(shape=(1,), name=\"cancer_dx\", dtype=\"int64\")\n", + "Cancer_dx_Age = keras.Input(shape=(1,), name=\"cancer_dx_age\", dtype=\"int64\")\n", + "Consent_Approval = keras.Input(shape=(1,), name=\"consent_approval\", dtype=\"int64\")\n", + "#Ethnicity = keras.Input(shape=(1,), name=\"ethnicity\", dtype=\"int64\")\n", + "Known_BRCA = keras.Input(shape=(1,), name=\"known_brca\", dtype=\"int64\")\n", + "Known_Cancer = keras.Input(shape=(1,), name=\"known_cancer\", dtype=\"int64\")\n", + "Relative_Age_1 = keras.Input(shape=(1,), name=\"rel_age_1\", dtype=\"int64\")\n", + "Relative_Age_2 = keras.Input(shape=(1,), name=\"rel_age_2\", dtype=\"int64\")\n", + "Relative_Age_3 = keras.Input(shape=(1,), name=\"rel_age_3\", dtype=\"int64\")\n", + "#Relative_Cancer = keras.Input(shape=(1,), name=\"rel_cancer\", dtype=\"int64\")\n", + "#Relative_Relation = keras.Input(shape=(1,), name=\"rel_relation\", dtype=\"int64\")\n", + "\n", + "\n", + "#History_class = keras.Input(shape=(1,), name=\"History_class\", dtype=\"string\")\n", + "\n", + "\n", + "\n", + "#Cancer_dx_Age = keras.Input(shape=(1,), name=\"cancer_dx_age\")\n", + "#Relative_Age_1 = keras.Input(shape=(1,), name=\"rel_age_1\")\n", + "#Relative_Age_2 = keras.Input(shape=(1,), name=\"rel_age_2\")\n", + "#Relative_Age_3 = keras.Input(shape=(1,), name=\"rel_age_3\")\n", + "\n", + "\n", + "all_inputs = [Pathogenic,\n", + " Cancer_Dx,\n", + " Cancer_dx_Age,\n", + " Consent_Approval,\n", + " Ethnicity,\n", + " Known_BRCA,\n", + " Known_Cancer,\n", + " Relative_Age_1,\n", + " Relative_Age_2,\n", + " Relative_Age_3,\n", + " Relative_Cancer,\n", + " Relative_Relation]" + ] + }, + { + "cell_type": "code", + "execution_count": 216, + "id": "green-bedroom", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 216, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Pathogenic" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "august-eight", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 217, + "id": "difficult-demographic", + "metadata": {}, + "outputs": [], + "source": [ + "Pathogenic_encoded = encode_integer_categorical_feature(Pathogenic, \"Pathogenic\", train_ds)\n", + "Cancer_Dx_encoded = encode_integer_categorical_feature(Cancer_Dx, \"cancer_dx\", train_ds)\n", + "Cancer_dx_Age_encoded = encode_integer_categorical_feature(Cancer_dx_Age, \"cancer_dx_age\", train_ds)\n", + "Consent_Approval_encoded = encode_integer_categorical_feature(Consent_Approval, \"consent_approval\", train_ds)\n", + "#Ethnicity_encoded = encode_integer_categorical_feature(Ethnicity, \"ethnicity\", train_ds)\n", + "Known_BRCA_encoded = encode_integer_categorical_feature(Known_BRCA, \"known_brca\", train_ds)\n", + "Known_Cancer_encoded = encode_integer_categorical_feature(Known_Cancer, \"known_cancer\", train_ds)\n", + "Relative_Age_1_encoded = encode_integer_categorical_feature(Relative_Age_1, \"rel_age_1\", train_ds)\n", + "Relative_Age_2_encoded = encode_integer_categorical_feature(Relative_Age_2, \"rel_age_2\", train_ds)\n", + "Relative_Age_3_encoded = encode_integer_categorical_feature(Relative_Age_3, \"rel_age_3\", train_ds)\n", + "#Relative_Cancer_encoded = encode_integer_categorical_feature(Relative_Cancer, \"rel_cancer\", train_ds)\n", + "#Relative_Relation_encoded = encode_integer_categorical_feature(Relative_Relation, \"rel_relation\", train_ds)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "according-design", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "short-yemen", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 218, + "id": "painful-nebraska", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"functional_6\"\n", + "__________________________________________________________________________________________________\n", + "Layer (type) Output Shape Param # Connected to \n", + "==================================================================================================\n", + "Pathogenic (InputLayer) [(None, 11)] 0 \n", + "__________________________________________________________________________________________________\n", + "cancer_dx (InputLayer) [(None, 1)] 0 \n", + "__________________________________________________________________________________________________\n", + "cancer_dx_age (InputLayer) [(None, 1)] 0 \n", + "__________________________________________________________________________________________________\n", + "consent_approval (InputLayer) [(None, 1)] 0 \n", + "__________________________________________________________________________________________________\n", + "known_brca (InputLayer) [(None, 1)] 0 \n", + "__________________________________________________________________________________________________\n", + "known_cancer (InputLayer) [(None, 1)] 0 \n", + "__________________________________________________________________________________________________\n", + "rel_age_1 (InputLayer) [(None, 1)] 0 \n", + "__________________________________________________________________________________________________\n", + "rel_age_2 (InputLayer) [(None, 1)] 0 \n", + "__________________________________________________________________________________________________\n", + "rel_age_3 (InputLayer) [(None, 1)] 0 \n", + "__________________________________________________________________________________________________\n", + "category_encoding_35 (CategoryE (None, 2) 1 Pathogenic[0][0] \n", + "__________________________________________________________________________________________________\n", + "category_encoding_36 (CategoryE (None, 11) 1 cancer_dx[0][0] \n", + "__________________________________________________________________________________________________\n", + "category_encoding_37 (CategoryE (None, 74) 1 cancer_dx_age[0][0] \n", + "__________________________________________________________________________________________________\n", + "category_encoding_38 (CategoryE (None, 11) 1 consent_approval[0][0] \n", + "__________________________________________________________________________________________________\n", + "category_encoding_39 (CategoryE (None, 11) 1 known_brca[0][0] \n", + "__________________________________________________________________________________________________\n", + "category_encoding_40 (CategoryE (None, 11) 1 known_cancer[0][0] \n", + "__________________________________________________________________________________________________\n", + "category_encoding_41 (CategoryE (None, 355664) 1 rel_age_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "category_encoding_42 (CategoryE (None, 2012) 1 rel_age_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "category_encoding_43 (CategoryE (None, 2083) 1 rel_age_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "concatenate_3 (Concatenate) (None, 359879) 0 category_encoding_35[0][0] \n", + " category_encoding_36[0][0] \n", + " category_encoding_37[0][0] \n", + " category_encoding_38[0][0] \n", + " category_encoding_39[0][0] \n", + " category_encoding_40[0][0] \n", + " category_encoding_41[0][0] \n", + " category_encoding_42[0][0] \n", + " category_encoding_43[0][0] \n", + "__________________________________________________________________________________________________\n", + "Dense_1 (Dense) (None, 187) 67297560 concatenate_3[0][0] \n", + "__________________________________________________________________________________________________\n", + "dropout_6 (Dropout) (None, 187) 0 Dense_1[0][0] \n", + "__________________________________________________________________________________________________\n", + "Dense_2 (Dense) (None, 64) 12032 dropout_6[0][0] \n", + "__________________________________________________________________________________________________\n", + "dropout_7 (Dropout) (None, 64) 0 Dense_2[0][0] \n", + "__________________________________________________________________________________________________\n", + "Dense_3 (Dense) (None, 32) 2080 dropout_7[0][0] \n", + "__________________________________________________________________________________________________\n", + "ethnicity (InputLayer) [(None, 1)] 0 \n", + "__________________________________________________________________________________________________\n", + "rel_cancer (InputLayer) [(None, 1)] 0 \n", + "__________________________________________________________________________________________________\n", + "rel_relation (InputLayer) [(None, 1)] 0 \n", + "__________________________________________________________________________________________________\n", + "Outputlayer (Dense) (None, 1) 33 Dense_3[0][0] \n", + "==================================================================================================\n", + "Total params: 67,311,714\n", + "Trainable params: 67,311,705\n", + "Non-trainable params: 9\n", + "__________________________________________________________________________________________________\n" + ] + } + ], + "source": [ + "\n", + "all_features = layers.concatenate(\n", + " [\n", + " Pathogenic_encoded,\n", + " Cancer_Dx_encoded,\n", + " Cancer_dx_Age_encoded,\n", + " Consent_Approval_encoded,\n", + " #Ethnicity_encoded, \n", + " Known_BRCA_encoded, \n", + " Known_Cancer_encoded,\n", + " Relative_Age_1_encoded,\n", + " Relative_Age_2_encoded,\n", + " Relative_Age_3_encoded,\n", + " #Relative_Cancer_encoded, \n", + " #Relative_Relation_encoded\n", + " ]\n", + ")\n", + "\n", + "# Multiple layers with dropout (for higher accuracy)\n", + "x = layers.Dense(187, activation=\"tanh\", name = \"Dense_1\")(all_features)\n", + "x = layers.Dropout(0.2)(x)\n", + "x = layers.Dense(64, activation=\"relu\", name = \"Dense_2\")(x)\n", + "x = layers.Dropout(0.2)(x)\n", + "x = layers.Dense(32, activation=\"relu\", name = \"Dense_3\")(x)\n", + "output = layers.Dense(1, activation=\"sigmoid\",name = \"Outputlayer\")(x)\n", + "\n", + "model = keras.Model(all_inputs, output)\n", + "\n", + "#Use Adam optimizer with custom learning rate\n", + "\n", + "opt = keras.optimizers.Adam(learning_rate=0.001)\n", + "\n", + "model.compile(opt, \"binary_crossentropy\", metrics=[\"accuracy\"])\n", + "\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 219, + "id": "adaptive-loading", + "metadata": {}, + "outputs": [], + "source": [ + "checkpoint = ModelCheckpoint('./checkpoints/best_weights.tf', monitor='val_accuracy', save_best_only=True, mode='auto')" + ] + }, + { + "cell_type": "code", + "execution_count": 220, + "id": "annoying-voice", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WARNING:tensorflow:Model was constructed with shape (None, 11) for input Tensor(\"Pathogenic_6:0\", shape=(None, 11), dtype=int64), but it was called on an input with incompatible shape (None, 1).\n" + ] + }, + { + "ename": "AssertionError", + "evalue": "in user code:\n\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:806 train_function *\n return step_function(self, iterator)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:796 step_function **\n outputs = model.distribute_strategy.run(run_step, args=(data,))\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:1211 run\n return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2585 call_for_each_replica\n return self._call_for_each_replica(fn, args, kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2945 _call_for_each_replica\n return fn(*args, **kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:789 run_step **\n outputs = model.train_step(data)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:747 train_step\n y_pred = self(x, training=True)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\base_layer.py:985 __call__\n outputs = call_fn(inputs, *args, **kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:385 call\n return self._run_internal_graph(\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:517 _run_internal_graph\n assert x_id in tensor_dict, 'Could not compute output ' + str(x)\n\n AssertionError: Could not compute output Tensor(\"Outputlayer/Sigmoid_3:0\", shape=(None, 1), dtype=float32)\n", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAssertionError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrain_ds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py\u001b[0m in \u001b[0;36m_method_wrapper\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 106\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_method_wrapper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 107\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_in_multi_worker_mode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;31m# pylint: disable=protected-access\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 108\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 109\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 110\u001b[0m \u001b[1;31m# Running inside `run_distribute_coordinator` already.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing)\u001b[0m\n\u001b[0;32m 1096\u001b[0m batch_size=batch_size):\n\u001b[0;32m 1097\u001b[0m \u001b[0mcallbacks\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mon_train_batch_begin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstep\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1098\u001b[1;33m \u001b[0mtmp_logs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtrain_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0miterator\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1099\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mdata_handler\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshould_sync\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1100\u001b[0m \u001b[0mcontext\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masync_wait\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 778\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 779\u001b[0m \u001b[0mcompiler\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"nonXla\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 780\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 781\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 782\u001b[0m \u001b[0mnew_tracing_count\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_tracing_count\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m_call\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 821\u001b[0m \u001b[1;31m# This is the first call of __call__, so we have to initialize.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 822\u001b[0m \u001b[0minitializers\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 823\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_initialize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0madd_initializers_to\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minitializers\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 824\u001b[0m \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 825\u001b[0m \u001b[1;31m# At this point we know that the initialization is complete (or less\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m_initialize\u001b[1;34m(self, args, kwds, add_initializers_to)\u001b[0m\n\u001b[0;32m 694\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_graph_deleter\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mFunctionDeleter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_lifted_initializer_graph\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 695\u001b[0m self._concrete_stateful_fn = (\n\u001b[1;32m--> 696\u001b[1;33m self._stateful_fn._get_concrete_function_internal_garbage_collected( # pylint: disable=protected-access\n\u001b[0m\u001b[0;32m 697\u001b[0m *args, **kwds))\n\u001b[0;32m 698\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_get_concrete_function_internal_garbage_collected\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 2853\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2854\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_lock\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2855\u001b[1;33m \u001b[0mgraph_function\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maybe_define_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2856\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2857\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_maybe_define_function\u001b[1;34m(self, args, kwargs)\u001b[0m\n\u001b[0;32m 3211\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3212\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_function_cache\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmissed\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcall_context_key\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3213\u001b[1;33m \u001b[0mgraph_function\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_create_graph_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3214\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_function_cache\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprimary\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcache_key\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3215\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_create_graph_function\u001b[1;34m(self, args, kwargs, override_flat_arg_shapes)\u001b[0m\n\u001b[0;32m 3063\u001b[0m \u001b[0marg_names\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbase_arg_names\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mmissing_arg_names\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3064\u001b[0m graph_function = ConcreteFunction(\n\u001b[1;32m-> 3065\u001b[1;33m func_graph_module.func_graph_from_py_func(\n\u001b[0m\u001b[0;32m 3066\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_name\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3067\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_python_function\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\framework\\func_graph.py\u001b[0m in \u001b[0;36mfunc_graph_from_py_func\u001b[1;34m(name, python_func, args, kwargs, signature, func_graph, autograph, autograph_options, add_control_dependencies, arg_names, op_return_value, collections, capture_by_value, override_flat_arg_shapes)\u001b[0m\n\u001b[0;32m 984\u001b[0m \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moriginal_func\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf_decorator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munwrap\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpython_func\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 985\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 986\u001b[1;33m \u001b[0mfunc_outputs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpython_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mfunc_args\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mfunc_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 987\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 988\u001b[0m \u001b[1;31m# invariant: `func_outputs` contains only Tensors, CompositeTensors,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36mwrapped_fn\u001b[1;34m(*args, **kwds)\u001b[0m\n\u001b[0;32m 598\u001b[0m \u001b[1;31m# __wrapped__ allows AutoGraph to swap in a converted function. We give\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 599\u001b[0m \u001b[1;31m# the function a weak reference to itself to avoid a reference cycle.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 600\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mweak_wrapped_fn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__wrapped__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 601\u001b[0m \u001b[0mweak_wrapped_fn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mweakref\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mref\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwrapped_fn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 602\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\framework\\func_graph.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 971\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;31m# pylint:disable=broad-except\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 972\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"ag_error_metadata\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 973\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mag_error_metadata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_exception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 974\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 975\u001b[0m \u001b[1;32mraise\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mAssertionError\u001b[0m: in user code:\n\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:806 train_function *\n return step_function(self, iterator)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:796 step_function **\n outputs = model.distribute_strategy.run(run_step, args=(data,))\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:1211 run\n return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2585 call_for_each_replica\n return self._call_for_each_replica(fn, args, kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2945 _call_for_each_replica\n return fn(*args, **kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:789 run_step **\n outputs = model.train_step(data)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:747 train_step\n y_pred = self(x, training=True)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\base_layer.py:985 __call__\n outputs = call_fn(inputs, *args, **kwargs)\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:385 call\n return self._run_internal_graph(\n c:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:517 _run_internal_graph\n assert x_id in tensor_dict, 'Could not compute output ' + str(x)\n\n AssertionError: Could not compute output Tensor(\"Outputlayer/Sigmoid_3:0\", shape=(None, 1), dtype=float32)\n" + ] + } + ], + "source": [ + "model.fit(train_ds)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "existing-reverse", + "metadata": {}, + "outputs": [], + "source": [ + "history = model.fit(train_ds, epochs=70, validation_data=val_ds, callbacks=[checkpoint])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "generous-spanking", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "after-spanking", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "incorporate-brick", + "metadata": {}, + "source": [ + "# Other" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "olive-elizabeth", + "metadata": {}, + "outputs": [], + "source": [ + "from selenium import webdriver\n", + "from webdriver_manager.chrome import ChromeDriverManager" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "commercial-spice", + "metadata": {}, + "outputs": [], + "source": [ + "driver = webdriver.Chrome(executable_path=ChromeDriverManager().install())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "constitutional-consumer", + "metadata": {}, + "outputs": [], + "source": [ + "driver.get('https://en.wikipedia.org/wiki/List_of_contemporary_ethnic_groups')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "acting-franchise", + "metadata": {}, + "outputs": [], + "source": [ + "lstOfEthnicities = []\n", + "for i in range(1,497):\n", + " #print(driver.find_element_by_xpath('/html/body/div[3]/div[3]/div[5]/div[1]/table[2]/tbody/tr['+str(i)+']/td[1]').text)\n", + " lstOfEthnicities.append(driver.find_element_by_xpath('/html/body/div[3]/div[3]/div[5]/div[1]/table[2]/tbody/tr['+str(i)+']/td[1]').text)\n", + "lstOfEthnicities.append('caucasian')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "numerical-buffer", + "metadata": {}, + "outputs": [], + "source": [ + "driver.quit()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "comparative-testament", + "metadata": {}, + "outputs": [], + "source": [ + "'norwegian' in lstOfEthnicities" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "massive-night", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/otherTesting.ipynb b/otherTesting.ipynb new file mode 100644 index 0000000..c97732e --- /dev/null +++ b/otherTesting.ipynb @@ -0,0 +1,1720 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "familiar-exclusive", + "metadata": {}, + "source": [ + "# Data Control\n", + "The Datasheet has many different problems\n", + "- Not having data for a specific criteria\n", + "- Data is not formatted correctly" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "residential-track", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import time\n", + "import json\n", + "import ast\n", + "from pprint import pprint\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import statistics\n", + "import numpy as np\n", + "import random\n", + "from collections import Counter" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "amazing-tattoo", + "metadata": {}, + "outputs": [], + "source": [ + "os.chdir(\"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH\")\n", + "for i in os.listdir(\".\"):\n", + " print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "enclosed-chemistry", + "metadata": {}, + "outputs": [], + "source": [ + "ethnicities = []\n", + "f = open(\"ethnicities.txt\", \"r\", encoding=\"utf8\")\n", + "for x in f:\n", + " ethnicities.append(x[:-1].lower().strip())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aggressive-conversion", + "metadata": {}, + "outputs": [], + "source": [ + "arryStrings = []\n", + "f = open(\"DomoArigatoData.txt\", \"r\")\n", + "for x in f:\n", + " arryStrings.append(x)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "invisible-employment", + "metadata": {}, + "outputs": [], + "source": [ + "for i in arryStrings[1:]:\n", + " if not (i[0:5] == \"FALSE\" or i[0:4] == \"TRUE\"):\n", + " print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "declared-living", + "metadata": {}, + "outputs": [], + "source": [ + "def gene(line, value):\n", + " ct = 0\n", + " while ct < 10:\n", + " if line[ct] == \"\\t\" and line[ct+1] == \"\\t\":\n", + " val= False\n", + " return(\"No Gene\")\n", + " break\n", + " ct+=1\n", + " ct2=0\n", + " string = \"\"\n", + " while ct2 < 15:\n", + " if line[ct2] == \"\\t\":\n", + " for i in line[ct2+1:]:\n", + " string+=i\n", + " if i ==\"\\t\":\n", + " return(string.replace(\"\\t\",\"\"))\n", + " break\n", + " ct2+=1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "refined-aberdeen", + "metadata": {}, + "outputs": [], + "source": [ + "def calc(line):\n", + " ct = 0\n", + " string1 = \"\"\n", + " while ct < 30:\n", + " if line[ct] == \"\\t\" and line[ct+1] == \"\\t\":\n", + " #print(\"No Gene\")\n", + " #print(line[ct+2:])\n", + " for i in line[ct+2:]:\n", + " string1+=i\n", + " if i ==\"\\t\":\n", + " #print(string.replace(\"\\t\",\"\"))\n", + " return \"No Gene\", string1.replace(\"\\t\",\"\").strip()\n", + " break\n", + " break\n", + " ct+=1\n", + " ct2=0\n", + " string = \"\"\n", + " stringNew = \"\"\n", + " while ct2 < 15:\n", + " if line[ct2] == \"\\t\":\n", + " ctNew = 0\n", + " for i in line[ct2+1:]:\n", + " string+=i\n", + " if i ==\"\\t\":\n", + " #print(string.replace(\"\\t\",\"\"))\n", + " break\n", + " ctNew+=1\n", + " #print(line[ct2+ctNew+2:])\n", + " for j in line[ct2+ctNew+2:]:\n", + " #print(j)\n", + " stringNew += j\n", + " if j ==\"\\t\":\n", + " #print(stringNew.replace(\"\\t\",\"\"))\n", + " return string.replace(\"\\t\",\"\").strip(), stringNew.replace(\"\\t\",\"\").strip()\n", + " break\n", + " ct2+=1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "loose-childhood", + "metadata": {}, + "outputs": [], + "source": [ + "%%time\n", + "convertArray = []\n", + "for line in arryStrings[1:]:\n", + " tempArray = []\n", + " if line[0:5].strip().upper() == \"FALSE\":\n", + " tempArray.append([\"Pathogenic\", \"False\"]) \n", + " elif line[0:4].strip().upper() == \"TRUE\":\n", + " tempArray.append([\"Pathogenic\", \"True\"]) \n", + " else:\n", + " raise Exception(\"Invalid first Value\\\"{}\\\"\".format(str(line)))\n", + " geneVal, history_classVal = calc(line)\n", + " tempArray.append([\"Gene\",geneVal])\n", + " tempArray.append([\"History_class\", history_classVal])\n", + " if not line.find(\"\\\"\") == -1:\n", + " runOther = line[line.find(\"\\\"\")+1:len(line)-1]\n", + " for i in runOther.split(\";\"):\n", + " i = i[:-5] if i.endswith(\"\\t\\t\\t\\t\") else i\n", + " details = i.strip().split(\":\")\n", + " try:\n", + " details[1] = details[1][:-1] if details[1].endswith(\"\\\"\") else details[1]\n", + " details[1] = json.loads(details[1].replace(\"\\\"\\\"\",\"\\\"\"))\n", + " except:\n", + " pass\n", + " tempArray.append(details)\n", + " convertArray.append(tempArray)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fancy-gilbert", + "metadata": {}, + "outputs": [], + "source": [ + "ctRemoved = 0\n", + "ctPointRemovePointer = 0\n", + "pointsRemoved = []\n", + "possible = ['Pathogenic','Gene','History_class','consent_approval','ethnicity','cancer_dx','cancer_dx_type','relationships',\n", + " 'cancer_dx_age','known_brca','known_cancer','rel_relation','rel_cancer','rel_age', '_method', 'other_cancer']\n", + "for singleEntity in convertArray:\n", + " for criteria in singleEntity:\n", + " if not criteria[0] in possible:\n", + " pointsRemoved.append([\"Title Wrong\", ctPointRemovePointer])\n", + " print(criteria)\n", + " #print(singleEntity, end=\"\\n\\n\")\n", + " #convertArray.remove(singleEntity)\n", + " ctRemoved +=1\n", + " ctPointRemovePointer+=1\n", + "print(\"{} different entities due to bad data format\".format(ctRemoved))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "corresponding-nutrition", + "metadata": {}, + "outputs": [], + "source": [ + "for i in pointsRemoved:\n", + " del convertArray[i[1]]\n", + "pointsRemoved = []" + ] + }, + { + "cell_type": "markdown", + "id": "viral-repeat", + "metadata": {}, + "source": [ + "# Visulization of Pathogenic" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "forbidden-essence", + "metadata": {}, + "outputs": [], + "source": [ + "total = len(convertArray)\n", + "cttrue = 0\n", + "ctfalse = 0\n", + "for i in convertArray:\n", + " cttrue += 1 if i[0][1] == 'True' else 0\n", + " ctfalse += 1 if i[0][1] == 'False' else 0\n", + "print(round(cttrue/total * 100,2),round(ctfalse/total * 100,2))\n", + "plt.title(\"Pathogenic\")\n", + "plt.pie([cttrue, ctfalse], labels = [\"True \" + str(round(cttrue/total * 100,3)), \n", + " \"False \" + str(round(ctfalse/total * 100,3))])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "boring-encyclopedia", + "metadata": {}, + "source": [ + "# Gene" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "parallel-kansas", + "metadata": {}, + "outputs": [], + "source": [ + "possibleGene = [\"NCCN\", \"HBOC\", \"MEN2\", \"PTEN\", \"MEN1\", \"ACMG\", \"FAMMM\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "stupid-occurrence", + "metadata": {}, + "outputs": [], + "source": [ + "ctGene = 0\n", + "for i in possibleGene: \n", + " if i != 'No Gene': ctGene+=1\n", + "lstOfGene = []\n", + "for i in convertArray:\n", + " #if i[1][1] != \"No Gene\": print(i[1][1]) \n", + " lstOfGene.append(i[1][1])\n", + "#print(\"-\"*20)\n", + "print(\"{} different Genes with total {} gene locations\".format(len(set(lstOfGene)), ctGene))" + ] + }, + { + "cell_type": "markdown", + "id": "dietary-fiction", + "metadata": {}, + "source": [ + "# Delete bad data" + ] + }, + { + "cell_type": "raw", + "id": "employed-boating", + "metadata": {}, + "source": [ + "possible = ['Pathogenic','Gene','History_class','consent_approval','ethnicity','cancer_dx','cancer_dx_type','relationships',\n", + " 'cancer_dx_age','known_brca','known_cancer','rel_relation','rel_cancer','rel_age', '_method', 'other_cancer']\n", + "for i in convertArray:\n", + " for j in i:\n", + " if not (j[0] in possible):\n", + " print(j)" + ] + }, + { + "cell_type": "markdown", + "id": "clear-swedish", + "metadata": {}, + "source": [ + "### ```consent_approval```\n", + "\n", + "There are only 2 possible options for this criteria, `yes` and `no` so adjusting all of them to that" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "organized-madness", + "metadata": {}, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"consent_approval\":\n", + " j[1] = j[1].lower().strip()\n", + " #Printing all possible wrong points\n", + " if j[1] != \"yes\" and j[1] != \"no\":\n", + " print(j[1])" + ] + }, + { + "cell_type": "markdown", + "id": "equivalent-youth", + "metadata": {}, + "source": [ + "### ```ethnicity```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "normal-sheet", + "metadata": {}, + "outputs": [], + "source": [ + "from spellchecker import SpellChecker\n", + "spell = SpellChecker()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "removed-innocent", + "metadata": {}, + "outputs": [], + "source": [ + "def ethnicityChange(listofVals):\n", + " listofVals = listofVals.lower().replace(\"/\",\",\").replace(\"caucasion\",\"caucasian\").replace(\"-\",\",\").replace(\"and\",\",\").replace(\"&\",\",\").replace(\"english\", \"\").replace(\"white\", \"caucasian\").strip().split(\",\")\n", + " #print(listofVals)\n", + " updated = listofVals\n", + " ct = 0\n", + " for i in listofVals:\n", + " if \"not\" in i or \"non\" in i:\n", + " try:\n", + " updated.remove(listofVals[ct+1])\n", + " except:\n", + " pass\n", + " ct+=1\n", + "\n", + " lst = [value for value in updated if value != \"\"]\n", + " #print(lst)\n", + " ct = 0\n", + " for j in lst:\n", + " if j != spell.correction(j):\n", + " lst[ct] = spell.correction(j)\n", + " #print(j, spell.correction(j))\n", + " ct+=1\n", + " #print(lst)\n", + " final = []\n", + " for i in lst:\n", + " if i in ethnicities:\n", + " final.append(i)\n", + " else:\n", + " splitFinalVal = i.split(\" \")\n", + " for j in splitFinalVal:\n", + " #print(j)\n", + " if j in ethnicities:\n", + " final.append(j)\n", + " #else:\n", + " #print(\"Removed: \", i)\n", + " return final" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "familiar-thing", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"ethnicity\":\n", + " answers = ethnicityChange(j[1])\n", + " if len(answers) > 2:\n", + " a = random.sample(range(0, len(answers)), 2)\n", + " j[1] = [answers[a[0]],answers[a[1]]]\n", + " elif len(answers) == 2:\n", + " j[1] = answers\n", + " elif len(answers) == 1:\n", + " j[1] = [answers[0],\"\"]\n", + " elif len(answers) == 0:\n", + " j[1] = [\"\",\"\"]\n", + " else:\n", + " raise Exception(\"Error Code\")" + ] + }, + { + "cell_type": "raw", + "id": "organized-guess", + "metadata": {}, + "source": [ + "lst = []\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"ethnicity\":\n", + " for i in j[1]:\n", + " lst.append(i)\n", + "A = Counter(lst)\n", + "lst = list(set(lst))" + ] + }, + { + "cell_type": "raw", + "id": "robust-cattle", + "metadata": {}, + "source": [ + "r=0\n", + "for key, value in A.items():\n", + " if value < 50:\n", + " print(key + \"\\t\" + str(value))\n", + " else:\n", + " r+=1" + ] + }, + { + "cell_type": "raw", + "id": "excess-aberdeen", + "metadata": {}, + "source": [ + "def removeNon(string):\n", + " lst = string.split()\n", + " updated = lst\n", + " ct = 0\n", + " for i in lst:\n", + " if \"not\" in i or \"non\" in i:\n", + " updated.remove(lst[ct+1])\n", + " ct+=1\n", + " return lst" + ] + }, + { + "cell_type": "markdown", + "id": "administrative-killing", + "metadata": {}, + "source": [ + "### ```cancer_dx```\n", + "\n", + "only yes or no answer" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "suspected-zimbabwe", + "metadata": {}, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"cancer_dx\":\n", + " j[1] = j[1].lower().strip()" + ] + }, + { + "cell_type": "markdown", + "id": "chief-librarian", + "metadata": {}, + "source": [ + "### ```cancer_dx_type```\n", + "\n", + "\n", + "Going to drop look into later" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "residential-expert", + "metadata": {}, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"cancer_dx_type\":\n", + " j[1] = j[1].lower().strip()\n", + " print(j)" + ] + }, + { + "cell_type": "raw", + "id": "motivated-pencil", + "metadata": {}, + "source": [ + "lst = []\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"cancer_dx_type\":\n", + " lst.append(j[1])\n", + "A = Counter(lst)\n", + "lst = list(set(lst))" + ] + }, + { + "cell_type": "raw", + "id": "accompanied-remainder", + "metadata": {}, + "source": [ + "r=0\n", + "for key, value in A.items():\n", + " if value < 30:\n", + " print(key + \"\\t\" + str(value))\n", + " else:\n", + " r+=1" + ] + }, + { + "cell_type": "markdown", + "id": "twelve-algebra", + "metadata": {}, + "source": [ + "### ```relationships```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "alleged-netscape", + "metadata": {}, + "outputs": [], + "source": [ + "ctPointDelete = 0\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"relationships\":\n", + " #j[1] = j[1].lower().strip()\n", + " pointsRemoved.append([\"Relationships\",ctPointDelete])\n", + " #print(j[1])\n", + " ctPointDelete+=1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "outstanding-simpson", + "metadata": {}, + "outputs": [], + "source": [ + "for i in pointsRemoved:\n", + " del convertArray[i[1]]\n", + "pointsRemoved = []" + ] + }, + { + "cell_type": "markdown", + "id": "experimental-slide", + "metadata": {}, + "source": [ + "### ```cancer_dx_age```\n", + "average if multiple" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "possible-retailer", + "metadata": {}, + "outputs": [], + "source": [ + "ctRemovedAge = 0\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"cancer_dx_age\":\n", + " #j[1] = j[1].replace()\n", + " if type(j[1]) != int and j[1] != '':\n", + " r = j[1].strip().replace(\"and\",\",\").split(\",\")\n", + " r = [s.strip() for s in r]\n", + " dele = False\n", + " for vla in r:\n", + " try:\n", + " vla = int(vla)\n", + " except:\n", + " dele = True\n", + " convertArray.remove(i)\n", + " ctRemovedAge+=1\n", + " if not dele: j[1] = int(statistics.mean(map(int, r)) )\n", + "print(\"Deleted {}\".format(ctRemovedAge))" + ] + }, + { + "cell_type": "markdown", + "id": "special-measure", + "metadata": {}, + "source": [ + "### ```known_brca```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "vocational-dream", + "metadata": {}, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"known_brca\":\n", + " j[1] = j[1].replace(\"U\",\"unknown\").lower().strip()\n", + " #print(j)" + ] + }, + { + "cell_type": "markdown", + "id": "similar-opera", + "metadata": {}, + "source": [ + "### ```rel_relation```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "juvenile-retirement", + "metadata": {}, + "outputs": [], + "source": [ + "import string" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "periodic-cutting", + "metadata": {}, + "outputs": [], + "source": [ + "CounterList = []\n", + "exclude = set(string.punctuation)\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_relation\":\n", + " #print(j)\n", + " newList = [] \n", + " for valr in j[1]:\n", + " value = valr.lower().replace(\"paternal\",\"\").replace(\"mom\",\"mother\").replace(\"grandpa\",\"grandfather\")\n", + " value = value.replace(\"grandma\",\"grandmother\").replace(\"first\",\"\").replace(\"dad\",\"father\").replace(\"1st\",\"\")\n", + " value = value.replace(\"maternal\",\"\").replace(\"greatgrandmother\", \"great grandmother\")\n", + " value = ''.join(ch for ch in value if ch not in exclude)\n", + " newList.append(value.strip())\n", + " if len(newList) > 1 and \"\" in newList:\n", + " newList.remove(\"\")\n", + " j[1] = list(set(newList))\n", + " CounterList.extend(list(set(newList)))\n", + " #print(j)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "buried-wayne", + "metadata": {}, + "outputs": [], + "source": [ + "A = Counter(CounterList)\n", + "r=0\n", + "lol = 0\n", + "removeLst = []\n", + "for key, value in A.items():\n", + " if value > 10:\n", + " #print(key)#\n", + " lol+=value\n", + " else:\n", + " r+=1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "innovative-entertainment", + "metadata": {}, + "outputs": [], + "source": [ + "possibleRelationship = [\"aunt\", \"brother\", \"cousin\", \"daughter\", \"father\", \"grandfather\", \"grandmother\", \"great aunt\", \n", + " \"great grandfather\", \"great grandmother\", \"great uncle\", \"mother\", \"niece\", \"sister\", \"uncle\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dependent-binary", + "metadata": {}, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_relation\":\n", + " newList = []\n", + " for valr in j[1]:\n", + " if not valr in possibleRelationship:\n", + " newList.append(\"\")\n", + " else:\n", + " newList.append(valr)\n", + " newList = list(set(newList))\n", + " if (\"\" in newList) and (not \"\" in newList) and len(newList) != 1:\n", + " newList.remove(\"\")\n", + " j[1] = newList\n", + " print(j)\n", + "#possibleRelationship.append(\"\")" + ] + }, + { + "cell_type": "markdown", + "id": "honey-sense", + "metadata": {}, + "source": [ + "### ```rel_cancer```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "boolean-distributor", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "%%time\n", + "R = []\n", + "relCancerPoss = [\"bile duct\", \"bladder\", \"bone\", \"brain\", \"breast\", \"cervical\", \"colon\", \"colorectal\", \"endometrial\", \n", + " \"esophageal\", \"kidney\", \"leukemia\", \"liver\", \"lung\", \"lymphoma\", \"melanoma\", \"mesothelioma\", \"mouth\", \n", + " \"myeloma\", \"non hodgkins lymphoma\", \"ovarian\", \"pancreas\", \"pancreatic\", \"prostate\", \"prostrate\", \"rectal\",\n", + " \"skin\", \"stomach\", \"testicular\", \"throat\", \"thyroid\", \"uterine\"]\n", + "exclude = set(string.punctuation)\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_cancer\":\n", + " tst = []\n", + " #print(j[1])\n", + " for valr in j[1]:\n", + " point = valr.lower().replace(\"cancer\",\"\").replace(\"prostrate\",\"prostate\").replace(\"unknown\",\"\").replace(\"multiple\",\"\").replace(\"leukemia cml\", \"leukemia\").replace(\"tumor\",\"\").strip()\n", + " point = ''.join(ch for ch in point if ch not in exclude)\n", + " #print(point)\n", + " for i in relCancerPoss:\n", + " if i in point:\n", + " point = i \n", + " if not point in relCancerPoss and point != \"\":\n", + " spellChange = spell.correction(point)\n", + " if point != spellChange:\n", + " point = spellChange\n", + " tst.append(point)\n", + " if len(tst) > 1 and \"\" in tst:\n", + " tst.remove(\"\")\n", + " j[1] = list(set(tst))\n", + " print(j)\n", + " R.extend(j[1])\n", + "#relCancerPoss.append(\"\")" + ] + }, + { + "cell_type": "raw", + "id": "tamil-tracy", + "metadata": {}, + "source": [ + "lstMain = [\"ovarian\", \"bladder\", \"breast\", \"liver\", \"\", \"colon\", \"uterine\", \"brain\", \"lung\", \"pancreatic\", \"lymphoma\", \n", + " \"skin\", \"leukemia\", \"prostate\", \"cervical\", \"stomach\", \"throat\", \"thyroid\", \"bone\", \"melanoma\", \"kidney\"]\n", + "pother = [\"squamous cell carcinoa\", \"i\"]\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_cancer\":\n", + " for valr in j[1]:\n", + " if not valr in lstMain and not valr in pother:\n", + " print(j[1], valr)\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_cancer\":\n", + " for valr in j[1]:\n", + " if valr == \"prostae\":\n", + " print(j[1], valr)\n" + ] + }, + { + "cell_type": "raw", + "id": "selected-replication", + "metadata": {}, + "source": [ + "r=0\n", + "for key, value in Counter(R).items():\n", + " if value > 5:\n", + " print(key + \"\\t\" + str(value))\n", + " else:\n", + " r+=1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ultimate-queue", + "metadata": {}, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_cancer\":\n", + " print(j)" + ] + }, + { + "cell_type": "markdown", + "id": "straight-davis", + "metadata": {}, + "source": [ + "### ```rel_age```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "inner-polish", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "exclude = set(string.punctuation)\n", + "ctdelRel_AGE = 0\n", + "pointersToRemove = 0\n", + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"rel_age\":\n", + " newListAge = []\n", + " for val in j[1]:\n", + " valr = val.replace(\"unknown\", \"\").replace(\"?\", \"\").replace(\"late\", \"\").replace(\"ish\", \"\").replace(\"s\", \"\").replace(\"'\", \"\").replace(\"appx\", \"\").replace(\"approx.\", \"\").replace(\"~\", \"\").replace(\"Over\", \"\").strip()\n", + " valr = ''.join(ch for ch in valr if ch not in exclude)\n", + " try:\n", + " valr = valr.lower().strip().replace(\"n/a\",\"\").replace(\"not sure\",\"\").replace(\"not ure\",\"\").replace(\"non\",\"\").replace(\"unure\",\"\").replace(\"Ukwn\",\"\").replace(\"unk\",\"\").replace(\"unknown\",\"\").replace(\"Unkown\",\"\").replace(\"UK\",\"\")\n", + " except:\n", + " print(\"Error Check - \", valr)\n", + " raise Exception(\"Changing Text\")\n", + " if valr != \"\":\n", + " try:\n", + " newListAge.append(int(valr)) \n", + " except:\n", + " print(\"Deleting:\", valr)\n", + " if len(newListAge) > 3:\n", + " a,b,c = np.percentile([67, 35, 64, 74, 82, 55], [25, 50, 75])\n", + " j[1] = [int(a),int(b),int(c)]\n", + " elif len(newListAge) == 3:\n", + " j[1] = newListAge\n", + " elif len(newListAge) == 2:\n", + " j[1] = [newListAge[0], newListAge[1], 0] \n", + " elif len(newListAge) == 1:\n", + " j[1] = [newListAge[0], 0, 0] \n", + " else:\n", + " print(j)\n", + " j[1] = [0,0,0]\n", + " pointersToRemove+=1\n", + "print(ctdelRel_AGE)" + ] + }, + { + "cell_type": "markdown", + "id": "flying-plumbing", + "metadata": {}, + "source": [ + "### ```_method```\n", + "\n", + "Since this column is esentially useless, I will drop it" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "frozen-cloud", + "metadata": {}, + "outputs": [], + "source": [ + "#for i in convertArray:\n", + " #for j in i:\n", + " #if j[0] == \"_method\":\n", + " #print(j)" + ] + }, + { + "cell_type": "markdown", + "id": "conservative-pizza", + "metadata": {}, + "source": [ + "### ```other_cancer```\n", + "\n", + "Too few data points" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "quality-liver", + "metadata": {}, + "outputs": [], + "source": [ + "for i in convertArray:\n", + " for j in i:\n", + " if j[0] == \"other_cancer\":\n", + " print(j)" + ] + }, + { + "cell_type": "markdown", + "id": "tribal-partner", + "metadata": {}, + "source": [ + "# Show Data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "diverse-istanbul", + "metadata": {}, + "outputs": [], + "source": [ + "def conv2dLstTo1d(array):\n", + " r = []\n", + " for i in array:\n", + " if type(i) == list:\n", + " for j in i:\n", + " r.append(j)\n", + " else:\n", + " r.append(i)\n", + " return r" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "offshore-documentary", + "metadata": {}, + "outputs": [], + "source": [ + "display = []\n", + "titles = [\"Name\",\"Percentage\", \"Count\", \"Types\", \"Example 5 data\"]\n", + "lstOfAllData = []\n", + "total = 0\n", + "for txt in possible:\n", + " tempArrayTypes=[]\n", + " ctVal = 0\n", + " ctR = 0\n", + " for i in convertArray:\n", + " hasValue = False\n", + " for j in i:\n", + " if j[0] == txt:\n", + " hasValue = True\n", + " tempArrayTypes.append(j[1])\n", + " ctR+=1\n", + " if not hasValue: ctVal += 1\n", + " total+=1\n", + " display.append([txt, (ctVal/total)*100, ctR,len(set(conv2dLstTo1d(tempArrayTypes))), \n", + " list(Counter(conv2dLstTo1d(tempArrayTypes)).keys())[0:5]])\n", + " lstOfAllData.append([txt, list(Counter(conv2dLstTo1d(tempArrayTypes)).keys())])\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "hawaiian-scottish", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(display, columns = titles)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "hairy-hanging", + "metadata": {}, + "outputs": [], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "multiple-following", + "metadata": {}, + "outputs": [], + "source": [ + "for i in pointsRemoved:\n", + " del convertArray[i[1]]" + ] + }, + { + "cell_type": "markdown", + "id": "binding-rough", + "metadata": {}, + "source": [ + "# Encoding" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "deadly-north", + "metadata": {}, + "outputs": [], + "source": [ + "saveMe = convertArray" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "removable-money", + "metadata": {}, + "outputs": [], + "source": [ + "convertArray = saveMe" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "damaged-teens", + "metadata": {}, + "outputs": [], + "source": [ + "requiredTitles = ['Pathogenic','Gene','History_class','consent_approval','ethnicity','cancer_dx','cancer_dx_type',\n", + " 'relationships','cancer_dx_age','known_brca','known_cancer','rel_relation','rel_cancer','rel_age',\n", + " '_method','other_cancer']\n", + "finalData = []\n", + "for i in convertArray:\n", + " tempArray = i\n", + " titlesArrayTemp = []\n", + " for j in tempArray:\n", + " titlesArrayTemp.append(j[0])\n", + " for k in requiredTitles:\n", + " if not k in titlesArrayTemp:\n", + " if k == \"rel_age\":\n", + " tempArray.append([k,[0,0,0]])\n", + " else:\n", + " tempArray.append([k,\"-\"])\n", + " tempArray.sort()\n", + " finalData.append(tempArray)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "growing-voice", + "metadata": {}, + "outputs": [], + "source": [ + "count = 0\n", + "for i in finalData:\n", + " if (len(i)) != 16:\n", + " del finalData[count]\n", + " print(\"Deleted.\")\n", + " count+=1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "considered-hurricane", + "metadata": {}, + "outputs": [], + "source": [ + "len(finalData)" + ] + }, + { + "cell_type": "raw", + "id": "caring-entry", + "metadata": {}, + "source": [ + "finalDataDF = []\n", + "for i in finalData:\n", + " temp = []\n", + " for j in i:\n", + " temp.append(j[1])\n", + " finalDataDF.append(temp)" + ] + }, + { + "cell_type": "raw", + "id": "dying-approval", + "metadata": {}, + "source": [ + "for i in range(10):\n", + " pprint(convertArray[random.randint(0,len(convertArray))])" + ] + }, + { + "cell_type": "raw", + "id": "israeli-feeding", + "metadata": {}, + "source": [ + "finalData = []\n", + "for i in convertArray:\n", + " if not(i[0][0] == \"Pathogenic\" and i[1][0] == \"Gene\" and i[2][0] == \"History_class\" and i[3][0] == \"consent_approval\" and \n", + " i[4][0] == \"ethnicity\" and i[5][0] == \"cancer_dx\" and i[6][0] == \"cancer_dx_type\" and i[7][0] == \"cancer_dx_age\" and \n", + " i[8][0] == \"known_brca\" and i[9][0] == \"known_cancer\" and i[10][0] == \"rel_relation\" and i[11][0] == \"rel_cancer\" and \n", + " i[12][0] == \"rel_age\"):\n", + " print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "educated-stanford", + "metadata": {}, + "outputs": [], + "source": [ + "def encodeRelationship(lst):\n", + " string = \"\"\n", + " for rel in possibleRelationship:\n", + " if rel in lst:\n", + " string+=\"1\"\n", + " else:\n", + " string+=\"0\"\n", + " return string" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "metropolitan-model", + "metadata": {}, + "outputs": [], + "source": [ + "def encodeRelCancer(lst):\n", + " string = \"\"\n", + " for rel in relCancerPoss:\n", + " if rel in lst:\n", + " string+=\"1\"\n", + " else:\n", + " string+=\"0\"\n", + " return string" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "scenic-reporter", + "metadata": {}, + "outputs": [], + "source": [ + "finalDataDF = []\n", + "for i in finalData:\n", + " tempArray = []\n", + " for j in i:\n", + " if j[0] == \"ethnicity\":\n", + " tempArray.append(j[1][0])\n", + " tempArray.append(j[1][1])\n", + " elif j[0] == \"rel_relation\":\n", + " tempArray.append(encodeRelationship(j[1]))\n", + " elif j[0] == \"rel_cancer\":\n", + " tempArray.append(encodeRelCancer(j[1]))\n", + " elif j[0] == \"rel_age\":\n", + " try:\n", + " tempArray.append(j[1][0])\n", + " tempArray.append(j[1][1])\n", + " tempArray.append(j[1][2])\n", + " except IndexError:\n", + " print(\"Error with data defaulting to 0\")\n", + " print(j)\n", + " tempArray.append(0)\n", + " tempArray.append(0)\n", + " tempArray.append(0)\n", + " elif j[0] == \"cancer_dx_age\":\n", + " if j[1] == \"\":\n", + " tempArray.append(0)\n", + " else:\n", + " tempArray.append(j[1])\n", + " else:\n", + " tempArray.append(j[1])\n", + " print(j)\n", + " print(\"\")\n", + " finalDataDF.append(tempArray)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "particular-season", + "metadata": {}, + "outputs": [], + "source": [ + "dfArray = []\n", + "for i in finalDataDF:\n", + " if len(i) == 19:\n", + " dfArray.append(i)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "compressed-stylus", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(dfArray, columns = ['Gene', 'History_class', 'Pathogenic','_method', 'cancer_dx','cancer_dx_age',\n", + " 'cancer_dx_type', 'consent_approval','ethnicity_1','ethnicity_2', 'known_brca', \n", + " 'known_cancer', 'other_cancer', 'rel_age_1', 'rel_age_2', 'rel_age_3', 'rel_cancer', \n", + " 'rel_relation', 'relationships'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "generous-invitation", + "metadata": {}, + "outputs": [], + "source": [ + "df" + ] + }, + { + "cell_type": "markdown", + "id": "fallen-adjustment", + "metadata": {}, + "source": [ + "# Lets do this" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "applied-attraction", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import math\n", + "import tensorflow as tf\n", + "import numpy as np\n", + "from numpy import unique\n", + "import pandas as pd\n", + "from tensorflow import keras\n", + "from tensorflow.keras import layers\n", + "from tensorflow.keras.callbacks import ModelCheckpoint, Callback, TensorBoard" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "martial-accent", + "metadata": {}, + "outputs": [], + "source": [ + "dataframe = df.drop(['Gene','Pathogenic','_method', 'relationships', 'consent_approval'], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "progressive-hurricane", + "metadata": {}, + "outputs": [], + "source": [ + "val_dataframe = dataframe.sample(frac=0.2, random_state=1337)\n", + "pred_dataframe = dataframe.sample(frac=0.1, random_state=1337)\n", + "train_dataframe = dataframe.drop(val_dataframe.index)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "sweet-colorado", + "metadata": {}, + "outputs": [], + "source": [ + "print(\"Using %d samples for training, %d for validation and %d for predicting\" \n", + " % (len(train_dataframe), len(val_dataframe), len(pred_dataframe)))\n", + "\n", + "def dataframe_to_dataset(dataframe):\n", + " dataframe = dataframe.copy()\n", + " labels = dataframe.pop(\"History_class\")\n", + " ds = tf.data.Dataset.from_tensor_slices((dict(dataframe), labels))\n", + " ds = ds.shuffle(buffer_size=len(dataframe))\n", + " return ds\n", + "\n", + "\n", + "def pred_dataframe_to_dataset(dataframe):\n", + " dataframe = dataframe.copy()\n", + " ds = tf.data.Dataset.from_tensor_slices((dict(dataframe)))\n", + " ds = ds.shuffle(buffer_size=len(dataframe))\n", + " return ds\n", + "\n", + "\n", + "\n", + "train_ds = dataframe_to_dataset(train_dataframe)\n", + "val_ds = dataframe_to_dataset(val_dataframe)\n", + "pred_ds = pred_dataframe_to_dataset(pred_dataframe)\n", + "\n", + "for x, y in train_ds.take(1):\n", + " print(\"Input:\", x)\n", + " print(\"Target:\", y)\n", + "\n", + "train_ds = train_ds.batch(32)\n", + "val_ds = val_ds.batch(32)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bulgarian-victor", + "metadata": {}, + "outputs": [], + "source": [ + "train_ds.take(1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aging-option", + "metadata": {}, + "outputs": [], + "source": [ + "{'cancer_dx': , \n", + " 'cancer_dx_age': , \n", + " 'cancer_dx_type': , \n", + " 'ethnicity_1': , \n", + " 'ethnicity_2': , \n", + " 'known_brca': , \n", + " 'known_cancer': , \n", + " 'other_cancer': , \n", + " 'rel_age_1': , \n", + " 'rel_age_2': , \n", + " 'rel_age_3': , \n", + " 'rel_cancer': , \n", + " 'rel_relation': }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "pursuant-saying", + "metadata": {}, + "outputs": [], + "source": [ + "Target: tf.Tensor(b'strong_family', shape=(), dtype=string)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "welsh-tennis", + "metadata": {}, + "outputs": [], + "source": [ + "from tensorflow.keras.layers.experimental.preprocessing import Normalization\n", + "from tensorflow.keras.layers.experimental.preprocessing import CategoryEncoding\n", + "from tensorflow.keras.layers.experimental.preprocessing import StringLookup\n", + "\n", + "\n", + "def encode_numerical_feature(feature, name, dataset):\n", + " # Create a Normalization layer for our feature\n", + " normalizer = Normalization()\n", + "\n", + " # Prepare a Dataset that only yields our feature\n", + " feature_ds = dataset.map(lambda x, y: x[name])\n", + " feature_ds = feature_ds.map(lambda x: tf.expand_dims(x, -1))\n", + "\n", + " # Learn the statistics of the data\n", + " normalizer.adapt(feature_ds)\n", + "\n", + " # Normalize the input feature\n", + " encoded_feature = normalizer(feature)\n", + " return encoded_feature\n", + "\n", + "\n", + "def encode_string_categorical_feature(feature, name, dataset):\n", + " # Create a StringLookup layer which will turn strings into integer indices\n", + " index = StringLookup()\n", + "\n", + " # Prepare a Dataset that only yields our feature\n", + " feature_ds = dataset.map(lambda x, y: x[name])\n", + " feature_ds = feature_ds.map(lambda x: tf.expand_dims(x, -1))\n", + "\n", + " # Learn the set of possible string values and assign them a fixed integer index\n", + " index.adapt(feature_ds)\n", + "\n", + " # Turn the string input into integer indices\n", + " encoded_feature = index(feature)\n", + "\n", + " # Create a CategoryEncoding for our integer indices\n", + " encoder = CategoryEncoding(output_mode=\"binary\")\n", + "\n", + " # Prepare a dataset of indices\n", + " feature_ds = feature_ds.map(index)\n", + "\n", + " # Learn the space of possible indices\n", + " encoder.adapt(feature_ds)\n", + "\n", + " # Apply one-hot encoding to our indices\n", + " encoded_feature = encoder(encoded_feature)\n", + " return encoded_feature\n", + "\n", + "\n", + "def encode_integer_categorical_feature(feature, name, dataset):\n", + " # Create a CategoryEncoding for our integer indices\n", + " encoder = CategoryEncoding(output_mode=\"binary\")\n", + "\n", + " # Prepare a Dataset that only yields our feature\n", + " feature_ds = dataset.map(lambda x, y: x[name])\n", + " feature_ds = feature_ds.map(lambda x: tf.expand_dims(x, -1))\n", + "\n", + " # Learn the space of possible indices\n", + " encoder.adapt(feature_ds)\n", + "\n", + " # Apply one-hot encoding to our indices\n", + " encoded_feature = encoder(feature)\n", + " return encoded_feature" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "democratic-sacramento", + "metadata": {}, + "outputs": [], + "source": [ + "Cancer_dx_Age = keras.Input(shape=(1,), name=\"cancer_dx_age\", dtype=\"int64\")\n", + "Relative_Age_1 = keras.Input(shape=(1,), name=\"rel_age_1\", dtype=\"int64\")\n", + "Relative_Age_2 = keras.Input(shape=(1,), name=\"rel_age_2\", dtype=\"int64\")\n", + "Relative_Age_3 = keras.Input(shape=(1,), name=\"rel_age_3\", dtype=\"int64\")\n", + "\n", + "\n", + "Relative_Cancer = keras.Input(shape=(1,), name=\"rel_cancer\", dtype=\"string\")\n", + "Relative_Relation = keras.Input(shape=(1,), name=\"rel_relation\", dtype=\"string\")\n", + "Cancer_Dx = keras.Input(shape=(1,), name=\"cancer_dx\", dtype=\"string\")\n", + "Cancer_Dx_Type = keras.Input(shape=(1,), name=\"cancer_dx_type\", dtype=\"string\")\n", + "Ethnicity_1 = keras.Input(shape=(1,), name=\"ethnicity_1\", dtype=\"string\")\n", + "Ethnicity_2 = keras.Input(shape=(1,), name=\"ethnicity_2\", dtype=\"string\")\n", + "Known_BRCA = keras.Input(shape=(1,), name=\"known_brca\", dtype=\"string\")\n", + "Known_Cancer = keras.Input(shape=(1,), name=\"known_cancer\", dtype=\"string\")\n", + "Other_Cancer = keras.Input(shape=(1,), name=\"other_cancer\", dtype=\"string\")\n", + "\n", + "#Cancer_dx_Age = keras.Input(shape=(1,), name=\"cancer_dx_age\")\n", + "#Relative_Age_1 = keras.Input(shape=(1,), name=\"rel_age_1\")\n", + "#Relative_Age_2 = keras.Input(shape=(1,), name=\"rel_age_2\")\n", + "#Relative_Age_3 = keras.Input(shape=(1,), name=\"rel_age_3\")\n", + "\n", + "\n", + "all_inputs = [\n", + " Relative_Cancer,\n", + " Relative_Relation,\n", + " Cancer_Dx,\n", + " Cancer_Dx_Type,\n", + " Ethnicity_1,\n", + " Ethnicity_2,\n", + " Known_BRCA,\n", + " Known_Cancer,\n", + " Other_Cancer,\n", + "\n", + " Cancer_dx_Age,\n", + " Relative_Age_1,\n", + " Relative_Age_2,\n", + " Relative_Age_3]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ahead-popularity", + "metadata": {}, + "outputs": [], + "source": [ + "# Integer categorical features\n", + "#Education_encoded = encode_integer_categorical_feature(Education, \"Education\", train_ds)\n", + "\n", + "\n", + "# String categorical features\n", + "Relative_Cancer_encoded = encode_string_categorical_feature(Relative_Cancer, \"rel_cancer\", train_ds)\n", + "Relative_Relation_encoded = encode_string_categorical_feature(Relative_Relation, \"rel_relation\", train_ds)\n", + "Cancer_Dx_encoded = encode_string_categorical_feature(Cancer_Dx, \"cancer_dx\", train_ds)\n", + "Cancer_Dx_Type_encoded = encode_string_categorical_feature(Cancer_Dx_Type, \"cancer_dx_type\", train_ds)\n", + "Ethnicity_1_encoded = encode_string_categorical_feature(Ethnicity_1, \"ethnicity_1\", train_ds)\n", + "Ethnicity_2_encoded = encode_string_categorical_feature(Ethnicity_2, \"ethnicity_2\", train_ds)\n", + "Known_BRCA_encoded = encode_string_categorical_feature(Known_BRCA, \"known_brca\", train_ds)\n", + "Known_Cancer_encoded = encode_string_categorical_feature(Known_Cancer, \"known_cancer\", train_ds)\n", + "Other_Cancer_encoded = encode_string_categorical_feature(Other_Cancer, \"other_cancer\", train_ds)\n", + "\n", + "# Numerical features\n", + "Cancer_dx_Age_encoded = encode_integer_categorical_feature(Cancer_dx_Age, \"cancer_dx_age\", train_ds)\n", + "Relative_Age_1_encoded = encode_integer_categorical_feature(Relative_Age_1, \"rel_age_1\", train_ds)\n", + "Relative_Age_2_encoded = encode_integer_categorical_feature(Relative_Age_2, \"rel_age_2\", train_ds)\n", + "Relative_Age_3_encoded = encode_integer_categorical_feature(Relative_Age_3, \"rel_age_3\", train_ds)\n", + "\n", + "all_features = layers.concatenate(\n", + " [\n", + " Relative_Cancer_encoded, \n", + " Relative_Relation_encoded,\n", + " Cancer_Dx_encoded, \n", + " Cancer_Dx_Type_encoded, \n", + " Ethnicity_1_encoded, \n", + " Ethnicity_2_encoded, \n", + " Known_BRCA_encoded, \n", + " Known_Cancer_encoded,\n", + " Other_Cancer_encoded,\n", + " Cancer_dx_Age_encoded,\n", + " Relative_Age_1_encoded,\n", + " Relative_Age_2_encoded,\n", + " Relative_Age_3_encoded\n", + " ]\n", + ")\n", + "\n", + "# Multiple layers with dropout (for higher accuracy)\n", + "x = layers.Dense(187, activation=\"tanh\", name = \"Dense_1\")(all_features)\n", + "x = layers.Dropout(0.2)(x)\n", + "x = layers.Dense(64, activation=\"relu\", name = \"Dense_2\")(x)\n", + "x = layers.Dropout(0.2)(x)\n", + "x = layers.Dense(32, activation=\"relu\", name = \"Dense_3\")(x)\n", + "output = layers.Dense(1, activation=\"sigmoid\",name = \"Outputlayer\")(x)\n", + "\n", + "model = keras.Model(all_inputs, output)\n", + "\n", + "#Use Adam optimizer with custom learning rate\n", + "\n", + "opt = keras.optimizers.Adam(learning_rate=0.001)\n", + "\n", + "model.compile(opt, \"binary_crossentropy\", metrics=[\"accuracy\"])\n", + "\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fatty-spiritual", + "metadata": {}, + "outputs": [], + "source": [ + "keras.utils.plot_model(model, show_shapes=True, rankdir=\"LR\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "gross-signal", + "metadata": {}, + "outputs": [], + "source": [ + "!mkdir checkpoints" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "upset-sacrifice", + "metadata": {}, + "outputs": [], + "source": [ + "checkpoint = ModelCheckpoint('./checkpoints/best_weights.tf', monitor='val_accuracy', verbose=1, save_best_only=True, mode='auto')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "hindu-sandwich", + "metadata": {}, + "outputs": [], + "source": [ + "history = model.fit(train_ds, epochs=70, validation_data=val_ds, callbacks=[checkpoint])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "respective-crawford", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "sharp-veteran", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "failing-vision", + "metadata": {}, + "source": [ + "# Other" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cosmetic-rugby", + "metadata": {}, + "outputs": [], + "source": [ + "from selenium import webdriver\n", + "from webdriver_manager.chrome import ChromeDriverManager" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "linear-rachel", + "metadata": {}, + "outputs": [], + "source": [ + "driver = webdriver.Chrome(executable_path=ChromeDriverManager().install())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "rational-cornwall", + "metadata": {}, + "outputs": [], + "source": [ + "driver.get('https://en.wikipedia.org/wiki/List_of_contemporary_ethnic_groups')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "imposed-surge", + "metadata": {}, + "outputs": [], + "source": [ + "lstOfEthnicities = []\n", + "for i in range(1,497):\n", + " #print(driver.find_element_by_xpath('/html/body/div[3]/div[3]/div[5]/div[1]/table[2]/tbody/tr['+str(i)+']/td[1]').text)\n", + " lstOfEthnicities.append(driver.find_element_by_xpath('/html/body/div[3]/div[3]/div[5]/div[1]/table[2]/tbody/tr['+str(i)+']/td[1]').text)\n", + "lstOfEthnicities.append('caucasian')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "selected-legislation", + "metadata": {}, + "outputs": [], + "source": [ + "driver.quit()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "beginning-lancaster", + "metadata": {}, + "outputs": [], + "source": [ + "'norwegian' in lstOfEthnicities" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "protecting-scratch", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}