Prediction of Postoperative Venous Thromboembolism in Patients With Traumatic Brain Injury: Model Development and Validation Study.

ABSTRACT:

Background

Venous thromboembolism (VTE) remains a critical cause of mortality among patients who are hospitalized. Patients with traumatic brain injury (TBI) are particularly susceptible to VTE due to coagulation abnormalities and immobilization. Despite this elevated risk, no validated predictive model currently exists for postoperative VTE in populations with TBI.

Objective

This study aims to develop machine learning (ML)-based predictive models for VTE in patients with TBI undergoing surgical procedures, with a focus on clinical translatability.

Methods

Data were collected from patients with TBI who underwent surgical treatment at Chongqing University Central Hospital (from October 2016 to December 2024). The dataset was randomly partitioned into a training set and

SUBMITTER: Zheng J 

PROVIDER: S-EPMC12670048 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature