Improving dynamic stroke risk prediction in non-anticoagulated patients with and without atrial fibrillation: comparing common clinical risk scores and machine learning algorithms

AIMS: Diversified cardiovascular/non-cardiovascular multi-morbid risk and efficient machine learning algorithms may facilitate improvements in stroke risk prediction, especially in newly diagnosed non-anticoagulated atrial fibrillation (AF) patients where initial decision-making on stroke prevention...

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Detalles Bibliográficos
Autores principales: Lip, Gregory Y H, Tran, George, Genaidy, Ash, Marroquin, Patricia, Estes, Cara, Landsheft, Jeremy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382661/
https://www.ncbi.nlm.nih.gov/pubmed/33999139
http://dx.doi.org/10.1093/ehjqcco/qcab037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382661/
https://www.ncbi.nlm.nih.gov/pubmed/33999139
http://dx.doi.org/10.1093/ehjqcco/qcab037

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