Application of a machine learning algorithm for detection of atrial fibrillation in secondary care

Atrial fibrillation (AF) is the most common sustained heart arrhythmia and significantly increases risk of stroke. Opportunistic AF testing in high-risk patients typically requires frequent electrocardiogram tests to capture the arrhythmia. Risk-prediction algorithms may help to more accurately iden...

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Detalles Bibliográficos
Autores principales: Pollock, Kevin G., Sekelj, Sara, Johnston, Ellie, Sandler, Belinda, Hill, Nathan R., Ng, Fu Siong, Khan, Sadia, Nassar, Ayman, Farooqui, Usman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164133/
https://www.ncbi.nlm.nih.gov/pubmed/34095444
http://dx.doi.org/10.1016/j.ijcha.2020.100674

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164133/
https://www.ncbi.nlm.nih.gov/pubmed/34095444
http://dx.doi.org/10.1016/j.ijcha.2020.100674

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