classify early biomarkers for type 2 diabetes
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Updated
Apr 17, 2020 - R
classify early biomarkers for type 2 diabetes
Functions to calculate glucose summary metrics, glucose variability metrics (as defined in clinical publications), and visualizations to visualize trends in CGM data. (In R)
An Android application allows to store the measurements of blood glucose levels in google spreadsheet
Supplementary information of Millard et al. 2022
Code of the paper "Cluster Analysis Based on Fasting and Postprandial Plasma Glucose and Insulin Concentrations"
The main purpose of the project(web application) informing the user about healthy eating, illustrating personal data with glucose levels, weight, BMI. In addition, the application prompts the user to review educational materials and take a quiz, as well as analyses the user's answers and makes a prediction about the risk of increasing glucose.
Unofficial PowerShell module to access the Minimed CareLink API
Support for Glucose Measurement Context on Nordic's Glucose Service
A discrete event simulator for tracking blood glucose levels based on carbohydrate metabolism in the human body.
Supplementary information of Millard et al. 2023
Through the prediction it is possible to predict, starting from the knowledge of the parameters, the evolution temporal blood glucose. Once the accuracy of the model has been verified, it is also possible to start from data from an IVGTT test and to trace the estimate of the glucose effectiveness and insulin sensitivity paramete
eGluco is an app that allows you to measure your glucose levels non-invasively when connected to it's respective device. The device is curently being developed in UDESC-CCT. You can find the app in Play Store.
Python script for downloading measurements from a Beurer GL50 EVO glucose meter using USB
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