A Multi-Patient Data-Driven Approach to Blood Glucose Prediction

A Multi-Patient Data-Driven Approach to Blood Glucose Prediction

Continuous glucose monitoring systems (CGMSs) allow measuring the blood glycaemic value of a diabetic patient at a high sampling rate, producing a considerable amount of data. These data can be effectively used by machine learning techniques to infer future values of the glycaemic concentration, all...

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Bibliographic Details
Main Authors: Alessandro Aliberti, Irene Pupillo, Stefano Terna, Enrico Macii, Santa Di Cataldo, Edoardo Patti, Andrea Acquaviva
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Continuous glucose monitoring
diabetes
non-linear autoregressive neural network
long short-term memory (LSTM) network
time-series analysis
machine learning
Online Access:https://ieeexplore.ieee.org/document/8723121/

Internet

https://ieeexplore.ieee.org/document/8723121/

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