A study on the risk prediction model for venous thromboembolism in orthopedic inpatients based on machine learning

A study on the risk prediction model for venous thromboembolism in orthopedic inpatients based on machine learning

ObjectiveTo construct a venous thromboembolism (VTE) risk prediction model for orthopedic inpatients using machine learning modeling techniques, identify high-risk patients, and optimize clinical interventions.MethodsThis study involved a retrospective analysis of 286 orthopedic inpatients from Nanx...

Full description

Saved in:
Bibliographic Details
Main Authors: Bo Zhang, Yumei Qin, Liandi Jiu, Chunming Qin, Jiangbo Wang, Haiqing Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Medicine
Subjects:
venous thromboembolism
machine learning
risk assessment
orthopedic inpatients
clinical decision support
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1574546/full
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2025.1574546/full

Similar Items