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

Clinical Information and Decision Making (1413) Machine Learning (1473) Electronic Health Records (1059) Decision Support for Health Professionals (1191)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18372, first published .
Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning–Based Method to Predict Crucial Complication Phenotypes

Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning–Based Method to Predict Crucial Complication Phenotypes

Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning–Based Method to Predict Crucial Complication Phenotypes

Authors of this article:

Jessica Qiuhua Sheng1 Author Orcid Image ;   Paul Jen-Hwa Hu1 Author Orcid Image ;   Xiao Liu2 Author Orcid Image ;   Ting-Shuo Huang3 Author Orcid Image ;   Yu Hsien Chen4 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Jessica Qiuhua Sheng   1 ;   Paul Jen-Hwa Hu   1 , PhD ;   Xiao Liu   2 , PhD ;   Ting-Shuo Huang   3 , PhD, MD ;   Yu Hsien Chen   4 , MD

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

2 Department of Information Systems, WP Carey School of Business, Arizona State University, Phoenix, AZ, United States

3 Department of General Surgery and Community Medicine Research Center, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan

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

Corresponding Author:

  • Ting-Shuo Huang, PhD, MD
  • Department of General Surgery and Community Medicine Research Center
  • Keelung Chang Gung Memorial Hospital
  • No. 222, Maijin Road, Anle District
  • Keelung
  • Taiwan
  • Phone: 886 2 2431 3131
  • Email: huangts1234@gmail.com