AI-based derivation of atrial fibrillation phenotypes in the general and critical care populationsResearch in context

Summary: Background: Atrial fibrillation (AF) is the most common heart arrhythmia worldwide and is linked to a higher risk of mortality and morbidity. To predict AF and AF-related complications, clinical risk scores are commonly employed, but their predictive accuracy is generally limited, given th...

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Principais autores:	Ryan A.A. Bellfield, Ivan Olier, Robyn Lotto, Ian Jones, Ellen A. Dawson, Guowei Li, Anil M. Tuladhar, Gregory Y.H. Lip, Sandra Ortega-Martorell
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2024-09-01
Serija:	EBioMedicine
Teme:	Clinical phenotypes Atrial fibrillation Generative topographic mapping UK-Biobank MIMIC-IV Probabilistic modelling
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2352396424003165
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