Machine learning models predict risk of lower extremity deep vein thrombosis in hospitalized patients with spontaneous intracerebral hemorrhage

Machine learning models predict risk of lower extremity deep vein thrombosis in hospitalized patients with spontaneous intracerebral hemorrhage

Abstract Lower extremity deep vein thrombosis is one of the important complications of spontaneous intracerebral hemorrhage. We aimed to develop a risk assessment model to predict the risk of lower extremity DVT during hospitalization in patients with spontaneous cerebral hemorrhage. The retrospecti...

Full description

Saved in:
Bibliographic Details
Main Authors: Weizhi Qiu, Penglei Cui, Shaojie Li, Zhenzhou Tang, Jiani Chen, Jiayin Wang, Yasong Li
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Spontaneous cerebral hemorrhage
Lower extremity deep vein thrombosis
Machine learning
Retrospective analysis
Risk assessment models
Online Access:https://doi.org/10.1038/s41598-025-10905-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items