Establishment of a machine learning predictive model for non-alcoholic fatty liver disease: A longitudinal cohort study.

Journal: Nutrition, metabolism, and cardiovascular diseases : NMCD
PMID: 38508988

Abstract

BACKGROUND AND AIMS: Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease, which lacks effective drug treatments. This study aimed to construct an eXtreme Gradient Boosting (XGBoost) prediction model to identify or evaluate potential NAFLD patients.

Authors

  • Tengrui Cao
    School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China. Electronic address: caotengrui0417@163.com.
  • Qian Zhu
    Institute for Prevention and Control of AIDS and STD, Henan Center for Disease Control and Prevention, Zhengzhou 450016, Henan, China.
  • Chao Tong
    School of Computer Science and Engineering, Beihang, Beijing, 100191, China.
  • Aheyeerke Halengbieke
    School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China. Electronic address: ahyerkie123@163.com.
  • Xuetong Ni
    School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China. Electronic address: nixuetong123@163.com.
  • Jianmin Tang
    School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China. Electronic address: tangjianmin127@163.com.
  • Yumei Han
    Science and Education Section, Beijing Physical Examination Center, No. 59, Beiwei Road, Xicheng District, Beijing 100050, China. Electronic address: hanyumei1975@126.com.
  • Qiang Li
    Department of Dermatology, Air Force Medical Center, PLA, Beijing, People's Republic of China.
  • Xinghua Yang
    School of Public Health, Capital Medical University, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, NO. 10 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China. Electronic address: xinghuayang@ccmu.edu.cn.

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