Research progress on prediction models for type 2 diabetes mellitus
10.19485/j.cnki.issn2096-5087.2025.04.010
- Author:
WANG Yingjie
;
SUN Gaofeng
- Publication Type:Journal Article
- Keywords:
type 2 diabetes mellitus;
prediction model;
big data;
machine learning
- From:
Journal of Preventive Medicine
2025;37(4):369-372,377
- CountryChina
- Language:Chinese
-
Abstract:
The incidence of type 2 diabetes mellitus (T2DM) has been continuously rising, severely impacting health and increasing the medical burden. With the development of medical big data and artificial intelligence, research into constructing T2DM and its complications prediction models using machine learning methods based on multidimensional data such as genetic information, health records and laboratory testing data have increased, providing new ideas and means for the prevention and control of T2DM. This article reviewed the research progress in prediction models related to the risk of T2DM to understand the classification, modeling methods and applications by retrieving literature on T2DM and its complications prediction models from domestic and international databases including CNKI, Web of Science, and PubMed from 2003 to 2024, so as to provide the reference for early screening and intervention of T2DM.
- Full text:2025110311182387502型糖尿病预测模型研究进展.pdf
