Machine Learning Using a Single-Lead ECG to Identify Patients With Atrial Fibrillation-Induced Heart Failure

AIMS: Atrial fibrillation (AF) and heart failure often co-exist. Early identification of AF patients at risk for AF-induced heart failure (AF-HF) is desirable to reduce both morbidity and mortality as well as health care costs. We aimed to leverage the characteristics of beat-to-beat-patterns in AF...

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Detalles Bibliográficos
Autores principales: Luongo, Giorgio, Rees, Felix, Nairn, Deborah, Rivolta, Massimo W., Dössel, Olaf, Sassi, Roberto, Ahlgrim, Christoph, Mayer, Louisa, Neumann, Franz-Josef, Arentz, Thomas, Jadidi, Amir, Loewe, Axel, Müller-Edenborn, Björn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918925/
https://www.ncbi.nlm.nih.gov/pubmed/35295255
http://dx.doi.org/10.3389/fcvm.2022.812719

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918925/
https://www.ncbi.nlm.nih.gov/pubmed/35295255
http://dx.doi.org/10.3389/fcvm.2022.812719

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