A personalized multitasking framework for real-time prediction of blood glucose levels in type 1 diabetes patients

A personalized multitasking framework for real-time prediction of blood glucose levels in type 1 diabetes patients

Real-time prediction of blood glucose levels (BGLs) in individuals with type 1 diabetes (T1D) presents considerable challenges. Accordingly, we present a personalized multitasking framework aimed to forecast blood glucose levels in patients. The patient data was initially categorized according to ge...

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Bibliographic Details
Main Authors: Huazhong Yang, Wang Li, Maojin Tian, Yangfeng Ren
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
blood glucose level prediction
continuous glucose monitoring technology
gru network model
attention mechanisms
personalized forecasts
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024111?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024111?viewType=HTML

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