Mobile Software Development Kit for Real Time Multivariate Blood Glucose Prediction

Mobile Software Development Kit for Real Time Multivariate Blood Glucose Prediction

In the field of blood glucose prediction, the literature is abounded with algorithms that demonstrate potential in glucose management. However, these propositions face an issue common to many machine learning algorithms: the repeated reuse of datasets (overfitting) and a tendency to develop algorith...

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Bibliographic Details
Main Authors: Miriam K. Wolff, Hans Georg Schaathun, Anders Lyngvi Fougner, Martin Steinert, Rune Volden
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Blood glucose prediction
health information systems
machine learning
wearable sensors
Online Access:https://ieeexplore.ieee.org/document/10379644/

Internet

https://ieeexplore.ieee.org/document/10379644/

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