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

Machine Learning (1401) Decision Support for Health Professionals (1147) Artificial Intelligence (1216) Clinical Information and Decision Making (1340) Gastroenterology and Hepatology (53)

Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26398, first published .
Current-Visit and Next-Visit Prediction for Fatty Liver Disease With a Large-Scale Dataset: Model Development and Performance Comparison

Current-Visit and Next-Visit Prediction for Fatty Liver Disease With a Large-Scale Dataset: Model Development and Performance Comparison

Current-Visit and Next-Visit Prediction for Fatty Liver Disease With a Large-Scale Dataset: Model Development and Performance Comparison

Authors of this article:

Cheng-Tse Wu1 Author Orcid Image ;   Ta-Wei Chu2, 3 Author Orcid Image ;   Jyh-Shing Roger Jang1 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Cheng-Tse Wu   1 , MS ;   Ta-Wei Chu   2, 3 , MD, PhD ;   Jyh-Shing Roger Jang   1 , PhD

1 Department of Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan

2 Department of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

3 MJ Health Screening Center, Taipei, Taiwan

Corresponding Author:

  • Ta-Wei Chu, MD, PhD
  • Department of Obstetrics and Gynecology
  • Tri-Service General Hospital, National Defense Medical Center
  • No. 325, Sec. 2, Chenggong Rd., Neihu Dist.,
  • Taipei, 114
  • Taiwan
  • Phone: 886 287923311 ext 88083
  • Email: taweichu@gmail.com