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Predicting glucose levels of diabetes patients using the Neural Prophet model alongside with the Dexcom Clarity Overview reports in order for users to have an idea of their future glucose levels.

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Lorenzo-Castellini-Coutin/Glucose-Level-Predicter

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Glucose Level Predicter

Introduction & Scope

This Python script uses the Dexcom Overview Report csv file as its dataset, in order to train an ML model in order to predict future glucose levels. The current and future glucose levels are represented in a graph. The graph can help the patient know where they will roughly stand with regards to their glucose levels in the near future which can help adjust their insulin dosage, meals, among other aspects that affect blood sugar levels. In the end, this can all help the user lower their h1ac.

How it works?

The script's model is currently under remodeling....

Usage

In order to run this script locally in your machine, make sure you have downloaded all of the used libraries. Furthermore, make sure you have the required dataset, in this case the Dexcom Overview Report csv available. Laslty, the script is only compatible with Dexcom CGM Overview Report csv, and might not work with other CGMs from other companies.

Advisory on Usage

This script gives its users a general idea about their glucose levels, but has its limitations. This predicter does not replace a professional's adivce, therefore, for more detailed and accurate information please visit your doctor.

Additional Notes

The Dexcom Overview Report csv files contains confidential information with regards to a patient's glucose levels, therefore, beware before using the script for your own glucose levels, since the model uses said levels to form a prediction. Furthermore, this script is not associated with the Dexcom company.

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Predicting glucose levels of diabetes patients using the Neural Prophet model alongside with the Dexcom Clarity Overview reports in order for users to have an idea of their future glucose levels.

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