Machine learning prediction of atrial fibrillation in cardiovascular patients using cardiac magnetic resonance and electronic health information

BACKGROUND: Atrial fibrillation (AF) is a commonly encountered cardiac arrhythmia associated with morbidity and substantial healthcare costs. While patients with cardiovascular disease experience the greatest risk of new-onset AF, no risk model has been developed to predict AF occurrence in this pop...

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Detalles Bibliográficos
Autores principales: Dykstra, Steven, Satriano, Alessandro, Cornhill, Aidan K., Lei, Lucy Y., Labib, Dina, Mikami, Yoko, Flewitt, Jacqueline, Rivest, Sandra, Sandonato, Rosa, Feuchter, Patricia, Howarth, Andrew G., Lydell, Carmen P., Fine, Nowell M., Exner, Derek V., Morillo, Carlos A., Wilton, Stephen B., Gavrilova, Marina L., White, James A.
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/PMC9554748/
https://www.ncbi.nlm.nih.gov/pubmed/36247426
http://dx.doi.org/10.3389/fcvm.2022.998558

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554748/
https://www.ncbi.nlm.nih.gov/pubmed/36247426
http://dx.doi.org/10.3389/fcvm.2022.998558

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