What drives performance in machine learning models for predicting heart failure outcome?

AIMS: The development of acute heart failure (AHF) is a critical decision point in the natural history of the disease and carries a dismal prognosis. The lack of appropriate risk-stratification tools at hospital discharge of AHF patients significantly limits clinical ability to precisely tailor pati...

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Detalles Bibliográficos
Autores principales: Gutman, Rom, Aronson, Doron, Caspi, Oren, Shalit, Uri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232285/
https://www.ncbi.nlm.nih.gov/pubmed/37265860
http://dx.doi.org/10.1093/ehjdh/ztac054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232285/
https://www.ncbi.nlm.nih.gov/pubmed/37265860
http://dx.doi.org/10.1093/ehjdh/ztac054

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