Machine learning approaches for the prediction of postoperative complication risk in liver resection patients.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: For liver cancer patients, the occurrence of postoperative complications increases the difficulty of perioperative nursing, prolongs the hospitalization time of patients, and leads to large increases in hospitalization costs. The ability to identify influencing factors and to predict the risk of complications in patients with liver cancer after surgery could assist doctors to make better clinical decisions.

Authors

  • Siyu Zeng
    Business School, Sichuan University, Chengdu, China.
  • Lele Li
    School of Labor and Human Resources, Renmin University of China, Beijing, China. lilele@ruc.edu.cn.
  • Yanjie Hu
    West China School of Nursing, West China Hospital, Sichuan University, Chengdu, China.
  • Li Luo
    Department of Intensive Care Unit, First Affiliated Hospital, Chongqing Medical University, Chongqing 400016, China.
  • Yuanchen Fang
    Business School, Sichuan University, Chengdu, China. y.fang@scu.edu.cn.