nutrients_absortption_CGM

Published: 4 March 2021| Version 1 | DOI: 10.17632/c7vx2576y2.1
Contributor:
István Vassányi

Description

Anonymized data sets of 5 diabetic patients used to train a neural network to predict the short term blood glucose levels. Each meal record contains the dietary content of the meal, the computed absorption parameters, and the CGM data used for training or validation of the NN.

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Categories

Artificial Neural Networks, Blood Glucose Monitoring

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