Implementation of five machine learning methods to predict the 52-week blood glucose level in patients with type 2 diabetes

OBJECTIVE: For the patients who are suffering from type 2 diabetes, blood glucose level could be affected by multiple factors. An accurate estimation of the trajectory of blood glucose is crucial in clinical decision making. Frequent glucose measurement serves as a good source of data to train machi...

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Detalles Bibliográficos
Autores principales: Fu, Xiaomin, Wang, Yuhan, Cates, Ryan S., Li, Nan, Liu, Jing, Ke, Dianshan, Liu, Jinghua, Liu, Hongzhou, Yan, Shuangtong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895792/
https://www.ncbi.nlm.nih.gov/pubmed/36743935
http://dx.doi.org/10.3389/fendo.2022.1061507

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895792/
https://www.ncbi.nlm.nih.gov/pubmed/36743935
http://dx.doi.org/10.3389/fendo.2022.1061507

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