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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...
Autores principales: | Fu, Xiaomin, Wang, Yuhan, Cates, Ryan S., Li, Nan, Liu, Jing, Ke, Dianshan, Liu, Jinghua, Liu, Hongzhou, Yan, Shuangtong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
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 |
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