Machine Learning for Predicting Heart Failure Progression in Hypertrophic Cardiomyopathy

Background: Development of advanced heart failure (HF) symptoms is the most common adverse pathway in hypertrophic cardiomyopathy (HCM) patients. Currently, there is a limited ability to identify HCM patients at risk of HF. Objectives: In this study, we present a machine learning (ML)-based model to...

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Detalles Bibliográficos
Autores principales: Fahmy, Ahmed S., Rowin, Ethan J., Manning, Warren J., Maron, Martin S., Nezafat, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155292/
https://www.ncbi.nlm.nih.gov/pubmed/34055932
http://dx.doi.org/10.3389/fcvm.2021.647857

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155292/
https://www.ncbi.nlm.nih.gov/pubmed/34055932
http://dx.doi.org/10.3389/fcvm.2021.647857

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