Development and validation of a machine learning-based early warning system for predicting venous thromboembolism risk in hospitalized lymphoma patients undergoing chemotherapy: a multicenter and retrospective cohort study

Development and validation of a machine learning-based early warning system for predicting venous thromboembolism risk in hospitalized lymphoma patients undergoing chemotherapy: a multicenter and retrospective cohort study

BackgroundLymphoma patients hospitalized for chemotherapy are at increased risk of venous thromboembolism (VTE) due to prolonged treatment and bed rest. Early prediction of VTE in this group remains challenging. This study aimed to develop a machine learning-based early warning system (VTE-EWS) tail...

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Bibliographic Details
Main Authors: Tingting Jiang, Zailin Yang, Xinyi Tang, Na Fan, Zuhai Hu, Jieping Li, Tingting Liu, Yu Peng, Shuang Chen, Bingling Guo, Xiaomei Zhang, Yong Chen, Jun Li, Dehong Huang, Jun Liu, Yakun Zhang, Xuefen Liu, Xia Wei, Zhanshu Liu, Haike Lei, Yao Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Oncology
Subjects:
venous thromboembolism
machine learning
lymphoma
prediction
early warning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1566905/full
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