Correlation study on the risk of cardiovascular adverse events in diabetic foot patients based on machine learning - a retrospective cohort study

Correlation study on the risk of cardiovascular adverse events in diabetic foot patients based on machine learning - a retrospective cohort study

IntroductionDiabetic Foot (DF), as a serious complication of diabetes, is closely related to major adverse cardiovascular events (MACE) and mortality. However, research on predictive models for the MACE risk in DF patients is not sufficient. The purpose of this study is to construct a prognostic mod...

Full description

Saved in:
Bibliographic Details
Main Authors: Liran Zheng, Jiageng Chen, Wenyan Xu, Min Ding, Juan Li, Fenghua Tian, Lei Zhang, Qianqian Li, Shuai Wang, Zeyu Wang, Hairong Ma, Xuecan Cui, Bai Chang, Meijun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Endocrinology
Subjects:
diabetic foot
major adverse cardiovascular events
random forest mode
risk prediction
relevance
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1595471/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items