Machine learning-based preoperative prediction of perioperative venous thromboembolism in Chinese lung cancer patients: a retrospective cohort study

Machine learning-based preoperative prediction of perioperative venous thromboembolism in Chinese lung cancer patients: a retrospective cohort study

BackgroundPerioperative venous thromboembolism (VTE) is a severe complication in lung cancer surgery. Traditional prediction models have limitations in handling complex clinical data, whereas machine learning (ML) offers enhanced predictive accuracy. This study aimed to develop and validate an ML-ba...

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Bibliographic Details
Main Authors: Zhe Chen, Min Qiang, Yang Hong, Weibo Tian, Mingbo Tang, Wei Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Oncology
Subjects:
lung cancer
perioperative period
venous thromboembolism
machine learning
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1588817/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1588817/full

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