Prediction of fatty liver disease using machine learning algorithms.

Journal: Computer methods and programs in biomedicine
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: Fatty liver disease (FLD) is a common clinical complication; it is associated with high morbidity and mortality. However, an early prediction of FLD patients provides an opportunity to make an appropriate strategy for prevention, early diagnosis and treatment. We aimed to develop a machine learning model to predict FLD that could assist physicians in classifying high-risk patients and make a novel diagnosis, prevent and manage FLD.

Authors

  • Chieh-Chen Wu
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology(ICHIT), Taipei Medical University, Taipei, Taiwan.
  • Wen-Chun Yeh
    Division of Hepatogastroenterology, Department of Internal Medicine, New Taipei City Hospital, Taiwan.
  • Wen-Ding Hsu
    Division of Nephrology, Department of Internal Medicine, New Taipei City Hospital, Taiwan.
  • Md Mohaimenul Islam
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology(ICHIT), Taipei Medical University, Taipei, Taiwan.
  • Phung Anh Alex Nguyen
    International Center for Health Information Technology(ICHIT), Taipei Medical University, Taipei, Taiwan.
  • Tahmina Nasrin Poly
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology(ICHIT), Taipei Medical University, Taipei, Taiwan.
  • Yao-Chin Wang
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology(ICHIT), Taipei Medical University, Taipei, Taiwan; Department of Emergency, Min-Sheng General Hospital, Taoyuan, Taiwan.
  • Hsuan-Chia Yang
    Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
  • Yu-Chuan Jack Li
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology(ICHIT), Taipei Medical University, Taipei, Taiwan; Department of Dermatology, Wan Fang Hospital, Taipei, Taiwan. Electronic address: jack@tmu.edu.tw.