Application of a machine learning algorithm for detection of atrial fibrillation in secondary care-Reference-Cited by-同舟云学术

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

Published:2020-12 Issue: Volume:31 Page:100674
ISSN:2352-9067
Container-title:IJC Heart & Vasculature
language:en
Short-container-title:IJC Heart & Vasculature

Author:

Pollock Kevin G.^ORCID,Sekelj Sara,Johnston Ellie,Sandler Belinda,Hill Nathan R.,Ng Fu Siong^ORCID,Khan Sadia,Nassar Ayman,Farooqui Usman

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference10 articles.

1. Atrial Fibrillation Association Anticoagulation Europe (UK), The AF Report - Atrial Fibrillation: Preventing A Stroke Crisis, 2012.

2. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study;Wolf;Stroke,1991

3. Stroke severity in atrial fibrillation. The framingham study;Lin;Stroke,1996

4. Worldwide epidemiology of atrial fibrillation: a global burden of disease 2010 study;Chugh;Circulation,2014

5. National Institute for Health and Care Excellence. Clinical guideline [CG180], Atrial fibrillation: management, 2014.

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