Development and validation of an explainable machine learning model for predicting postoperative venous thromboembolism in esophageal cancer

This study established a robust VTE risk prediction model using GBM, demonstrating high accuracy and clinical applicability for patients with esophageal cancer. The integration of advanced machine learning techniques into clinical practice highlights the potential to reduce VTE-related morbidity and mortality in high-risk patient populations.

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Publication Details

Journal
International Journal of Surgery
Published
2025-09-23
DOI
https://doi.org/10.1097/js9.0000000000003562
Primary Topic
Venous Thromboembolism Diagnosis and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of an explainable machine learning model for predicting postoperative venous thromboembolism in esophageal cancer

Yongzhong Wu, Xiaosheng Li, Haike Lei, Qianjie Xu et al.
International Journal of Surgery
Venous Thromboembolism Diagnosis and Management
article

Development and validation of an explainable machine learning model for predicting postoperative venous thromboembolism in esophageal cancer

Yongzhong Wu, Xiaosheng Li, Haike Lei, Qianjie Xu, Haolin Zhang, Zhiqiang Wang, Yuliang Yuan, Zuhai Hu
article en

Abstract

This study established a robust VTE risk prediction model using GBM, demonstrating high accuracy and clinical applicability for patients with esophageal cancer. The integration of advanced machine learning techniques into clinical practice highlights the potential to reduce VTE-related morbidity and mortality in high-risk patient populations.

International Journal of SurgeryVol. 112(1)
Chongqing University (CN), Chongqing Public Health Medical Center (CN), Chongqing Cancer Hospital (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 56%
Venous Thromboembolism Diagnosis and Management
DOIOpen Access PDFOpenAlex
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Development and validation of an explainable machine learning model for predicting postoperative venous thromboembolism in esophageal cancer — Yongzhong Wu, Xiaosheng Li, et al. · International Journal of Surgery (2025) | TGRS Research Map | TGRS