Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study.

Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study.

<h4>Background</h4>Closed-loop insulin delivery systems, which integrate continuous glucose monitoring (CGM) and algorithms that continuously guide insulin dosing, have been shown to improve glycaemic control. The ability to predict future glucose values can further optimize such devices...

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Autores principales: William P T M van Doorn, Yuri D Foreman, Nicolaas C Schaper, Hans H C M Savelberg, Annemarie Koster, Carla J H van der Kallen, Anke Wesselius, Miranda T Schram, Ronald M A Henry, Pieter C Dagnelie, Bastiaan E de Galan, Otto Bekers, Coen D A Stehouwer, Steven J R Meex, Martijn C G J Brouwers
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/88bd2757586d419c87a53793150f0af3
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https://doaj.org/article/88bd2757586d419c87a53793150f0af3

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