A novel risk scoring system predicts overall survival of hepatocellular carcinoma using cox proportional hazards machine learning method.

Abstract

Authors

• Haibei Xin
  Department of Hepatobiliary Surgery, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, PR China.
• Yuanfeng Li
  Beijing Institute of Radiation Medicine, Beijing, PR China. Electronic address: liyf_snp@163.com.
• Quanlei Wang
  Dongguan Institute of Gallbladder Disease Research, Dongguan Nancheng Hospital, Dongguan, PR China.
• Ren Liu
  The 902nd Hospital of the PLA, Bengbu, PR China.
• Cunzhen Zhang
  Department of Hepatic Surgery I (Ward I), The Third Affiliated Hospital of Naval Military Medical University, Shanghai, PR China.
• Haidong Zhang
• Xian Su
  Department of Hepatobiliary Surgery, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, PR China.
• Bin Bai
  Xijing Hospital, Fourth Military Medical University, Xi'an, China.
• Nan Li
  School of Basic Medical Sciences, Jiamusi University No. 258, Xuefu Street, Xiangyang District, Jiamusi 154007, Heilongjiang, China.
• Minfeng Zhang
  Department of Hepatobiliary Surgery, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, PR China. Electronic address: dr-zmf@hotmail.com.

Keywords

External Resources