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

Internet

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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