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

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