Functions to calculate glucose summary metrics, glucose variability metrics (as defined in clinical publications), and visualizations to visualize trends in CGM data.
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Updated
Feb 10, 2021 - Jupyter Notebook
Functions to calculate glucose summary metrics, glucose variability metrics (as defined in clinical publications), and visualizations to visualize trends in CGM data.
Diabetes prediction V2.0 -This VB6 application takes glycemic values and tries to predict the future state of the patient. First, it converts a sequence of numbers into states. The states are arranged in a transition matrix and the transition probabilities are calculated for each element. The transition matrix is further used for a predictions.
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