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Predicting the future risk and outcomes of severe heart failure and coronary artery disease with machine learning in the UK Biobank Cohort.

<h4>Background</h4>In order to seriously impact the global burden of heart failure (HF) and coronary artery disease (CAD), identifying at-risk individuals as early as possible is vital. Risk calculator tools in wide clinical use today are informed by traditional statistical methods that...

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Main Authors: Karim Taha, Heather J Ross, Mohammad Peikari, Brigitte Mueller, Chun-Po S Fan, Edgar Crowdy, Yas Moayedi, Filio Billia, Cedric Manlhiot
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Acceso en liña:https://doi.org/10.1371/journal.pone.0329461
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