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Prediction of Atrial Fibrillation Using Machine Learning: A Review

There has been recent immense interest in the use of machine learning techniques in the prediction and screening of atrial fibrillation, a common rhythm disorder present with significant clinical implications primarily related to the risk of ischemic cerebrovascular events and heart failure. Prior t...

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Detalles Bibliográficos
Autores principales: Tseng, Andrew S., Noseworthy, Peter A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581234/
https://www.ncbi.nlm.nih.gov/pubmed/34777014
http://dx.doi.org/10.3389/fphys.2021.752317