Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study

Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study

Abstract Background Cardiovascular complications are major concerns for Chinese patients with type 2 diabetes. Accurately predicting these risks remains challenging due to limitations in traditional risk models. We aimed to develop a dynamic prediction model using machine learning and longitudinal t...

Full description

Saved in:
Bibliographic Details
Main Authors: Qi Huang, Xiantong Zou, Zhouhui Lian, Xianghai Zhou, Xueyao Han, Yingying Luo, Shuohua Chen, Yanxiu Wang, Shouling Wu, Linong Ji
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Cardiovascular Diabetology
Subjects:
Machine learning
Risk prediction
Type 2 diabetes
Trajectories
Online Access:https://doi.org/10.1186/s12933-025-02611-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12933-025-02611-0

Similar Items