生物医学工程研究2025，Vol.44Issue(6)：415-422,8.DOI:10.19529/j.cnki.1672-6278.2025.06.10
糖尿病患者血糖预测中的算法研究及进展
Research and progress of algorithms in blood glucose prediction of diabetic patients
摘要
Abstract
The blood glucose levels of patients with diabetes mellitus(DM)are influenced by multiple factors such as diet,exer-cise,insulin and stress,making it rather difficult to control.Accurate prediction of blood glucose changes can not only help to predict the risks of hypo-and hyperglycemia,but also optimize treatment plans and improve the quality of life of patients.Deep learning(DL)is widely applied in blood glucose prediction due to its powerful temporal modeling capabilities.The development of continuous blood glucose monitoring(CGM)and wearable sensors provides data support for DL.This paper systematically reviews the research progress of DL in the field of blood glucose prediction,introduces the common data sets and evaluation metrics and compares the performance of different models.Finally,the future development directions such as personalized prediction,multimodal fusion and interpretability mod-els are prospected to provide references for blood glucose prediction research.关键词
糖尿病/血糖水平/高、低血糖/连续血糖监测/深度学习Key words
Diabetes mellitus/Blood glucose level/Hyperglycemia and hypoglycemia/Continuous blood glucose monitoring/Deep learning分类
医药卫生引用本文复制引用
蒋卓韵,袁苏海,俞志超,李崭虹,张冠群,朱志刚..糖尿病患者血糖预测中的算法研究及进展[J].生物医学工程研究,2025,44(6):415-422,8.基金项目
上海市科委研究项目(2024-9-1). （2024-9-1）
