Analyzing artificial intelligence systems for the prediction of atrial fibrillation from sinus-rhythm ECGs including demographics and feature visualization

Atrial fibrillation (AF) is an abnormal heart rhythm, asymptomatic in many cases, that causes several health problems and mortality in population. This retrospective study evaluates the ability of different AI-based models to predict future episodes of AF from electrocardiograms (ECGs) recorded duri...

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Detalles Bibliográficos
Autores principales: Melzi, Pietro, Tolosana, Ruben, Cecconi, Alberto, Sanz-Garcia, Ancor, Ortega, Guillermo J., Jimenez-Borreguero, Luis Jesus, Vera-Rodriguez, Ruben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610971/
https://www.ncbi.nlm.nih.gov/pubmed/34815461
http://dx.doi.org/10.1038/s41598-021-02179-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610971/
https://www.ncbi.nlm.nih.gov/pubmed/34815461
http://dx.doi.org/10.1038/s41598-021-02179-1

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