Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis

BACKGROUND: Mortality remains unacceptably high in patients with heart failure and reduced left ventricular ejection fraction (LVEF) despite advances in therapeutics. We hypothesised that a novel artificial intelligence approach could better assess multiple and higher-dimension interactions of comor...

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Detalles Bibliográficos
Autores principales: Karwath, Andreas, Bunting, Karina V, Gill, Simrat K, Tica, Otilia, Pendleton, Samantha, Aziz, Furqan, Barsky, Andrey D, Chernbumroong, Saisakul, Duan, Jinming, Mobley, Alastair R, Cardoso, Victor Roth, Slater, Luke, Williams, John A, Bruce, Emma-Jane, Wang, Xiaoxia, Flather, Marcus D, Coats, Andrew J S, Gkoutos, Georgios V, Kotecha, Dipak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542730/
https://www.ncbi.nlm.nih.gov/pubmed/34474011
http://dx.doi.org/10.1016/S0140-6736(21)01638-X

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542730/
https://www.ncbi.nlm.nih.gov/pubmed/34474011
http://dx.doi.org/10.1016/S0140-6736(21)01638-X

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