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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...
Autores principales: | Melzi, Pietro, Tolosana, Ruben, Cecconi, Alberto, Sanz-Garcia, Ancor, Ortega, Guillermo J., Jimenez-Borreguero, Luis Jesus, Vera-Rodriguez, Ruben |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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