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

Machine Learning (1660) Clinical Information and Decision Making (1584) Decision Support for Health Professionals (1310) Electronic Health Records (1139) Clinical Informatics (1121) Artificial Intelligence (1641) New Methods (1012)

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 (9) Tweetations (5) Metrics

Journals

  1. Subramani S, Varshney N, Anand M, Soudagar M, Al-keridis L, Upadhyay T, Alshammari N, Saeed M, Subramanian K, Anbarasu K, Rohini K. Cardiovascular diseases prediction by machine learning incorporation with deep learning. Frontiers in Medicine 2023;10 View
  2. Zalikha A, Court T, Nham F, El-Othmani M, Shah R. Improved performance of machine learning models in predicting length of stay, discharge disposition, and inpatient mortality after total knee arthroplasty using patient-specific variables. Arthroplasty 2023;5(1) View
  3. Pahlevani M, Taghavi M, Vanberkel P. A systematic literature review of predicting patient discharges using statistical methods and machine learning. Health Care Management Science 2024;27(3):458 View
  4. Saarela M, Podgorelec V. Recent Applications of Explainable AI (XAI): A Systematic Literature Review. Applied Sciences 2024;14(19):8884 View
  5. Wei J, Zhou J, Zhang Z, Yuan K, Gu Q, Luk A, Brent A, Clifton D, Walker A, Eyre D. Predicting individual patient and hospital-level discharge using machine learning. Communications Medicine 2024;4(1) View
  6. Pahlevani M, Rajabi E, Taghavi M, VanBerkel P. Developing a decision support tool to predict delayed discharge from hospitals using machine learning. BMC Health Services Research 2025;25(1) View
  7. Ramakrishnaiah Y, Macesic N, Webb G, Peleg A, Tyagi S. EHR-ML: A data-driven framework for designing machine learning applications with electronic health records. International Journal of Medical Informatics 2025;196:105816 View
  8. Mandal A, Dehuri S, Sarma P. Analysis of machine learning approaches for predictive modeling in heart disease detection systems. Biomedical Signal Processing and Control 2025;106:107723 View