Machine learning models for prediction of postoperative venous thromboembolism in gynecological malignant tumor patients.

Journal: The journal of obstetrics and gynaecology research
PMID: 38689519

Abstract

AIM: To identify risk factors that associated with the occurrence of venous thromboembolism (VTE) within 30 days after hysterectomy among gynecological malignant tumor patients, and to explore the value of machine learning (ML) models in VTE occurrence prediction.

Authors

  • Bijuan Lin
    Department of Intensive Care Unit, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, China.
  • Fang Chen
  • Meiying Wu
    Department of Intensive Care Unit, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, China.
  • Chaojing Li
    Department of Intensive Care Unit, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, China.
  • Lanzhi Lin
    Department of Intensive Care Unit, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, China.

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