Glucose trajectory prediction by deep learning for personal home care of type 2 diabetes mellitus: modelling and applying

Glucose trajectory prediction by deep learning for personal home care of type 2 diabetes mellitus: modelling and applying

Glucose management for people with type 2 diabetes mellitus is essential but challenging due to the multi-factored and chronic disease nature of diabetes. To control glucose levels in a safe range and lessen abnormal glucose variability efficiently and economically, an intelligent prediction of gluc...

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Bibliographic Details
Main Authors: Lingmin Lin, Kailai Liu, Huan Feng, Jing Li, Hengle Chen, Tao Zhang, Boyun Xue, Jiarui Si
Format: Article
Language:English
Published: AIMS Press 2022-07-01
Series:Mathematical Biosciences and Engineering
Subjects:
diabetes
deep learning
home blood glucose monitoring
intelligence-aided health management
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2022472?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2022472?viewType=HTML

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