Development and validation of a gradient boosting machine to predict prognosis after liver resection for intrahepatic cholangiocarcinoma.

Journal: BMC cancer
PMID: 35277130

Abstract

BACKGROUND: Accurate prognosis assessment is essential for surgically resected intrahepatic cholangiocarcinoma (ICC) while published prognostic tools are limited by modest performance. We therefore aimed to establish a novel model to predict survival in resected ICC based on readily-available clinical parameters using machine learning technique.

Authors

  • Gu-Wei Ji
    Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China; Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, PR China; NHC Key Laboratory of Living Donor Liver Transplantation (Nanjing Medical University), Nanjing, PR China. Electronic address: drjgw@njmu.edu.cn.
  • Chen-Yu Jiao
    Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
  • Zheng-Gang Xu
    Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
  • Xiang-Cheng Li
    Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China; Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, PR China; NHC Key Laboratory of Living Donor Liver Transplantation (Nanjing Medical University), Nanjing, PR China. Electronic address: drxcli@njmu.edu.cn.
  • Ke Wang
    China Electric Power Research Institute, Haidian District, Beijing 100192, China. wangke1@epri.sgcc.com.cn.
  • Xue-Hao Wang
    Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, PR China; Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, PR China; NHC Key Laboratory of Living Donor Liver Transplantation (Nanjing Medical University), Nanjing, PR China. Electronic address: wangxh@njmu.edu.cn.

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