Ten-Year Multicenter Retrospective Study Utilizing Machine Learning Algorithms to Identify Patients at High Risk of Venous Thromboembolism After Radical Gastrectomy.

International journal of general medicine(2023)

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摘要
The machine learning algorithm XGBoost derived from this study enables the development of a predictive model for postoperative VTE in patients after radical gastrectomy, thereby assisting clinicians in making informed clinical decisions.
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关键词
gastric neoplasms,gastrectomy,venous thromboembolism,risk factors,machine learning,prediction model
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