Utilizing longitudinal data in assessing all‐cause mortality in patients hospitalized with heart failure

AIMS: Risk stratification in patients with a new onset or worsened heart failure (HF) is essential for clinical decision making. We have utilized a novel approach to enrich patient level prognostication using longitudinally gathered data to develop ML‐based algorithms predicting all‐cause 30, 90, 18...

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Detalles Bibliográficos
Autores principales: Herman, Robert, Vanderheyden, Marc, Vavrik, Boris, Beles, Monika, Palus, Timotej, Nelis, Olivier, Goethals, Marc, Verstreken, Sofie, Dierckx, Riet, Penicka, Martin, Heggermont, Ward, Bartunek, Jozef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Study Designs
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715844/
https://www.ncbi.nlm.nih.gov/pubmed/35695324
http://dx.doi.org/10.1002/ehf2.14011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715844/
https://www.ncbi.nlm.nih.gov/pubmed/35695324
http://dx.doi.org/10.1002/ehf2.14011

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