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Predicting atrial fibrillation in primary care using machine learning

BACKGROUND: Atrial fibrillation (AF) is the most common sustained heart arrhythmia. However, as many cases are asymptomatic, a large proportion of patients remain undiagnosed until serious complications arise. Efficient, cost-effective detection of the undiagnosed may be supported by risk-prediction...

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Detalles Bibliográficos
Autores principales:	Hill, Nathan R., Ayoubkhani, Daniel, McEwan, Phil, Sugrue, Daniel M., Farooqui, Usman, Lister, Steven, Lumley, Matthew, Bakhai, Ameet, Cohen, Alexander T., O’Neill, Mark, Clifton, David, Gordon, Jason
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824570/ https://www.ncbi.nlm.nih.gov/pubmed/31675367 http://dx.doi.org/10.1371/journal.pone.0224582

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