Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain

Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain

This paper focuses on exploring and comparing different machine learning algorithms in the context of diabetes management. The aim is to understand their characteristics, mathematical foundations, and practical implications specifically for predicting blood glucose levels. The study provides an over...

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Bibliographic Details
Main Authors: Beniamino Di Martino, Antonio Esposito, Gennaro Junior Pezzullo, Tien-Hsiung Weng
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Connection Science
Subjects:
E-health
regression
deep learning
LSTM
Online Access:https://www.tandfonline.com/doi/10.1080/09540091.2023.2279900
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