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Published on in Vol 7, No 4 (2019): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14756, first published .
Readmission Risk Trajectories for Patients With Heart Failure Using a Dynamic Prediction Approach: Retrospective Study

Readmission Risk Trajectories for Patients With Heart Failure Using a Dynamic Prediction Approach: Retrospective Study

Readmission Risk Trajectories for Patients With Heart Failure Using a Dynamic Prediction Approach: Retrospective Study

Authors of this article:

Wei Jiang1 Author Orcid Image ;   Sauleh Siddiqui1 Author Orcid Image ;   Sean Barnes2 Author Orcid Image ;   Lili A Barouch3 Author Orcid Image ;   Frederick Korley4 Author Orcid Image ;   Diego A Martinez5 Author Orcid Image ;   Matthew Toerper5 Author Orcid Image ;   Stephanie Cabral6 Author Orcid Image ;   Eric Hamrock7, 8 Author Orcid Image ;   Scott Levin5 Author Orcid Image
Article Authors Cited by (18) Tweetations (2) Metrics

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  14. Sharma V, Joon T, Kulkarni V, Samanani S, Simpson S, Voaklander D, Eurich D. Predicting 30-day risk from benzodiazepine/Z-drug dispensations in older adults using administrative data: A prognostic machine learning approach. International Journal of Medical Informatics 2023;178:105177 View
  15. Soliman A, Agvall B, Etminani K, Hamed O, Lingman M. The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study. Journal of Medical Internet Research 2023;25:e46934 View
  16. Sharma V, Kulkarni V, Joon T, Eurich D, Simpson S, Voaklander D, Wright B, Samanani S. Predicting falls-related admissions in older adults in Alberta, Canada: a machine-learning falls prevention tool developed using population administrative health data. BMJ Open 2023;13(8):e071321 View
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  18. Zhang W, Cheng W, Fujiwara K, Evans R, Zhu C. Predictive Modeling for Hospital Readmissions for Patients With Heart Disease: An Updated Review From 2012–2023. IEEE Journal of Biomedical and Health Informatics 2024;28(4):2259 View