Explainable machine learning for the assessment of donor grafts in liver transplantation.

Journal: Hepatology research : the official journal of the Japan Society of Hepatology
Published Date: Apr 4, 2025

Abstract

BACKGROUND AND AIM: The shortage of liver grafts compared to recipients necessitates precise organ assessment. This study aimed to develop a Machine learning (ML) model to predict postoperative delayed graft function (DGF) and visualize the decision-making process for clinical application.

Authors

  • Liang Zhixing
    Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Ye Linsen
    Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Jiang Peng
    Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Dong Siyi
    National Center for Healthcare Quality Management of Liver Transplant, Hangzhou, China.
  • Yu Haoyuan
    Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Li Kun
    Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu 610213, China.
  • Li Siqi
    Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Hu Yongwei
    Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Zhang Mingshen
    Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Liu Wei
    Guangdong Provincial Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Li Hua
    Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Yi Shuhong
    Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Chen Guihua
    Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Xu Xiao
    Key Laboratory of Underwater Acoustics Environment, Chinese Academy of Sciences, Beijing 100190, China.
  • Zheng Shusen
    National Center for Healthcare Quality Management of Liver Transplant, Hangzhou, China.
  • Yang Yang
    Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.

Keywords

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