Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial

Atrial fibrillation (AF) is associated with an increased risk of stroke, enhanced stroke severity, and other comorbidities. However, AF is often asymptomatic, and frequently remains undiagnosed until complications occur. Current screening approaches for AF lack either cost-effectiveness or diagnosti...

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Detalles Bibliográficos
Autores principales: Hill, Nathan R., Arden, Chris, Beresford-Hulme, Lee, Camm, A. John, Clifton, David, Davies, D. Wyn, Farooqui, Usman, Gordon, Jason, Groves, Lara, Hurst, Michael, Lawton, Sarah, Lister, Steven, Mallen, Christian, Martin, Anne-Celine, McEwan, Phil, Pollock, Kevin G., Rogers, Jennifer, Sandler, Belinda, Sugrue, Daniel M., Cohen, Alexander T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Inc. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571442/
https://www.ncbi.nlm.nih.gov/pubmed/33091585
http://dx.doi.org/10.1016/j.cct.2020.106191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571442/
https://www.ncbi.nlm.nih.gov/pubmed/33091585
http://dx.doi.org/10.1016/j.cct.2020.106191

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