This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1434) Artificial Intelligence (1421) Machine Learning (1501) New Methods (963) Longitudinal and Cohort Studies in Public Health (316) Prevention and Health Promotion (1015)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46891, first published .
Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study

Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study

Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study

Authors of this article:

Guoqing Huang1, 2 Author Orcid Image ;   Qiankai Jin1, 2 Author Orcid Image ;   Yushan Mao1 Author Orcid Image
Article Authors Cited by (4) Tweetations (6) Metrics

Guoqing Huang   1, 2 , PhD ;   Qiankai Jin   1, 2 , MM ;   Yushan Mao   1 , PhD

1 Department of Endocrinology, The First Affiliated Hospital of Ningbo University, Ningbo, China

2 Health Science Center, Ningbo University, Ningbo, China

Corresponding Author:

  • Yushan Mao, PhD
  • Department of Endocrinology
  • The First Affiliated Hospital of Ningbo University
  • 247 Renmin Road
  • Ningbo, 315000
  • China
  • Phone: 86 13867878937
  • Email: maoyushan@nbu.edu.cn