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

Machine Learning (1501) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Electronic Health Records (1068) Clinical Informatics (1050) Artificial Intelligence (1421) New Methods (963)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32662, first published .
Machine Learning–Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability Study

Machine Learning–Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability Study

Machine Learning–Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability Study

Authors of this article:

Imjin Ahn1 Author Orcid Image ;   Hansle Gwon1 Author Orcid Image ;   Heejun Kang2 Author Orcid Image ;   Yunha Kim1 Author Orcid Image ;   Hyeram Seo1 Author Orcid Image ;   Heejung Choi1 Author Orcid Image ;   Ha Na Cho2 Author Orcid Image ;   Minkyoung Kim2 Author Orcid Image ;   Tae Joon Jun3 Author Orcid Image ;   Young-Hak Kim2 Author Orcid Image
Article Authors Cited by (6) Tweetations (5) Metrics

Imjin Ahn   1 , BSc ;   Hansle Gwon   1 , BSc ;   Heejun Kang   2 , MSc ;   Yunha Kim   1 , BSc ;   Hyeram Seo   1 , BSc ;   Heejung Choi   1 , BSc ;   Ha Na Cho   2 , MSc ;   Minkyoung Kim   2 , BSc ;   Tae Joon Jun   3 * , PhD ;   Young-Hak Kim   2 * , MD, PhD

1 Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

2 Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

3 Big Data Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Young-Hak Kim, MD, PhD
  • Division of Cardiology
  • Department of Internal Medicine
  • Asan Medical Center, University of Ulsan College of Medicine
  • 88, Olympic-ro 43-gil
  • Seoul, 05505
  • Republic of Korea
  • Phone: 82 2 3010 3955
  • Email: mdyhkim@amc.seoul.kr