Prediction of New-Onset Atrial Fibrillation in Patients with Hypertrophic Cardiomyopathy Using Machine Learning
Our ML model showed superior performance compared to the conventional HCM-AF score for the prediction of new-onset AF in patients with HCM.
Authors
- Muredach P. Reilly (ORCID: https://orcid.org/0000-0002-3035-9386)
- Kohei Hasegawa (ORCID: https://orcid.org/0000-0002-5739-7999)
- Albree Tower‐Rader
- Matthew J. Maurer (ORCID: https://orcid.org/0000-0002-1867-0526)
- Yuichi J. Shimada (ORCID: https://orcid.org/0000-0002-3494-307X)
- Michael A. Fifer (ORCID: https://orcid.org/0000-0002-8363-445X)
- Heidi Lumish
- Ree Lu
- Shepard D. Weiner
Institutions
- Harvard University (US)
- Columbia University Irving Medical Center (US)
- Massachusetts General Hospital (US)
- Columbia University (US)
Publication Details
- Journal
- European Journal of Heart Failure
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1002/ejhf.3546
- Citations
- 12
- Primary Topic
- Cardiomyopathy and Myosin Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.82
Funders
- American Heart Association
- Feldstein Medical Foundation
- Korea Institute of Oriental Medicine
- National Institutes of Health
- Irving Medical Center, Columbia University