A machine learning-based predictive model for the occurrence of lower extremity deep vein thrombosis after laparoscopic surgery in abdominal surgery.

Journal: Frontiers in surgery
Published Date:

Abstract

BACKGROUND & AIMS: Deep vein thrombosis, a common complication after laparoscopic surgery, can negatively affect patients' limb motor function and even seriously threaten their lives. Therefore, it is crucial to accurately identify patients at high risk of lower extremity deep vein thrombosis. Thus, the aim of this study was to develop a model to predict the occurrence of deep vein thrombosis in patients after laparoscopy.

Authors

  • Su-Zhen Yang
    Department of Hepatobiliary Surgery, Wenzhou Central Hospital, Dingli Clinical Institute of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Ming-Hui Peng
    Department of Hepatobiliary Surgery, Wenzhou Central Hospital, Dingli Clinical Institute of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Quan Lin
    Department of Ophthalmology, Nanning Aier Eye Hospital, Nanning, China.
  • Shi-Wei Guan
    Department of Hepatobiliary Surgery, Wenzhou Central Hospital, Dingli Clinical Institute of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Kai-Lun Zhang
    Department of Hepatobiliary Surgery, Wenzhou Central Hospital, Dingli Clinical Institute of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Hai-Bo Yu
    Department of Hepatobiliary Surgery, Wenzhou Central Hospital, Dingli Clinical Institute of Wenzhou Medical University, Wenzhou, Zhejiang, China.

Keywords

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