Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model

BACKGROUND: Hypertrophic cardiomyopathy (HCM) patients have a high incidence of atrial fibrillation (AF) and increased stroke risk, even with low CHA(2)DS(2)-VASc (congestive heart failure, hypertension, age diabetes, previous stroke/transient ischemic attack) scores. Hence, there is a need to under...

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Detalles Bibliográficos
Autores principales: Bhattacharya, Moumita, Lu, Dai-Yin, Ventoulis, Ioannis, Greenland, Gabriela V., Yalcin, Hulya, Guan, Yufan, Marine, Joseph E., Olgin, Jeffrey E., Zimmerman, Stefan L., Abraham, Theodore P., Abraham, M. Roselle, Shatkay, Hagit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209373/
https://www.ncbi.nlm.nih.gov/pubmed/34169259
http://dx.doi.org/10.1016/j.cjco.2021.01.016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209373/
https://www.ncbi.nlm.nih.gov/pubmed/34169259
http://dx.doi.org/10.1016/j.cjco.2021.01.016

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