![]() |
Predicting Hospital Readmission in Heart Failure Patients in Iran: A Comparison of Various Machine Learning Methods
Roya Najafi-Vosough, Javad Faradmal, Seyed Kianoosh Hosseini, Abbas Moghimbeigi, Hossein Mahjub
Healthc Inform Res. 2021;27(4):307-314. Published online 2021 Oct 31 DOI: https://doi.org/10.4258/hir.2021.27.4.307
|
Citations to this article as recorded by
Adaptation of interdisciplinary clinical practice guidelines to palliative care for patients with heart failure in iran: application of adapte method
Imane Bagheri, Hojatollah Yousefi, Masoud Bahrami, Davood Shafie
Iranian Journal of Nursing and Midwifery Research.2023; 28(1): 92. CrossRef Predicting hospital readmission risk in patients with COVID-19: A machine learning approach
Mohammad Reza Afrash, Hadi Kazemi-Arpanahi, Mostafa Shanbehzadeh, Raoof Nopour, Esmat Mirbagheri
Informatics in Medicine Unlocked.2022; 30: 100908. CrossRef Predictive modeling for COVID-19 readmission risk using machine learning algorithms
Mostafa Shanbehzadeh, Azita Yazdani, Mohsen Shafiee, Hadi Kazemi-Arpanahi
BMC Medical Informatics and Decision Making.2022;[Epub] CrossRef The relationship of family functioning and family health with hospital readmission in patients with heart failure: insights from an international cross-sectional study
Mahdi Shamali, Birte Østergaard, Erla Kolbrún Svavarsdóttir, Mohsen Shahriari, Hanne Konradsen
European Journal of Cardiovascular Nursing.2022;[Epub] CrossRef Feature Importance Measures as Explanation for Classification Applied to Hospital Readmission Prediction
Ma. Sheila A. Magboo, Vincent Peter C. Magboo
Procedia Computer Science.2022; 207: 1388. CrossRef
|