Thrombosis researchVenous ThromboembolismHumansMachine LearningRisk FactorsRisk Assessment
Systematic review of a machine learning model for prediction of venous thromboembolism risk.
Wen-Jing Ge, Teng-Fei Zhu, Wen-Jie Ge, Xin-Yi Zhu, Ai-Qin Chu
Published: 202510.1016/j.thromres.2025.109507
Abstract
OBJECTIVE: This systematic review aims to evaluate the methodological quality, performance, and clinical applicability of machine learning (ML) models for predicting the risk of venous thromboembolism (VTE) in hospitalized patients. Specifically, we…
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