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Decision Support for Health Professionals (2413) Clinical Information and Decision Making (3985) Advanced Data Analytics in eHealth (391) Machine Learning (3404) Gastroenterology and Hepatology (212)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91693, first published .
Doctor analyzing liver MRI scan on computer, with anatomical liver models nearby.

Predicting Cirrhotic Patients’ Transition From Compensated to Decompensated Stage: A Graph-Based Multitask Deep Learning Method

Predicting Cirrhotic Patients’ Transition From Compensated to Decompensated Stage: A Graph-Based Multitask Deep Learning Method

Authors of this article:

Mohammadsadegh Abolhasani1 Author Orcid Image ;   Da Xu2 Author Orcid Image ;   Paul Jen-Hwa Hu1 Author Orcid Image ;   Ting-Shuo Huang3, 4, 5 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Mohammadsadegh Abolhasani   1 , BSc ;   Da Xu   2 , PhD ;   Paul Jen-Hwa Hu   1 , PhD ;   Ting-Shuo Huang   3, 4, 5 , PhD

1 Department of Operations and Information Systems, David Eccles School of Business, University of Utah, Salt Lake City, UT, United States

2 Department of Marketing, Analytics, and Professional Sales, School of Business Administration, University of Mississippi, University, MS, United States

3 Division of General Surgery, Department of Surgery, Jen-Ai Hospital, Taichung, Taiwan

4 Department of Surgery, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan

5 Department of Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan

Corresponding Author:

  • Paul Jen-Hwa Hu, PhD
  • Department of Operations and Information Systems
  • David Eccles School of Business, University of Utah
  • 1655 East Campus Center Drive
  • Salt Lake City, UT 84112
  • United States
  • Phone: 1 801-587-7785
  • Email: paul.hu@eccles.utah.edu