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

BACKGROUND: 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. In this study, we...

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Detalles Bibliográficos
Autores principales: van Doorn, William P. T. M., Foreman, Yuri D., Schaper, Nicolaas C., Savelberg, Hans H. C. M., Koster, Annemarie, van der Kallen, Carla J. H., Wesselius, Anke, Schram, Miranda T., Henry, Ronald M. A., Dagnelie, Pieter C., de Galan, Bastiaan E., Bekers, Otto, Stehouwer, Coen D. A., Meex, Steven J. R., Brouwers, Martijn C. G. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224858/
https://www.ncbi.nlm.nih.gov/pubmed/34166426
http://dx.doi.org/10.1371/journal.pone.0253125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224858/
https://www.ncbi.nlm.nih.gov/pubmed/34166426
http://dx.doi.org/10.1371/journal.pone.0253125

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