Barriers and Opportunities Regarding Implementation of a Machine Learning-Based Acute Heart Failure Risk Stratification Tool in the Emergency Department

Hospital admissions for patients with acute heart failure (AHF) remain high. There is an opportunity to improve alignment between patient risk and admission decision. We recently developed a machine learning (ML)-based model that stratifies emergency department (ED) patients with AHF based on predic...

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Detalles Bibliográficos
Autores principales: Sax, Dana R., Sturmer, Lillian R., Mark, Dustin G., Rana, Jamal S., Reed, Mary E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600201/
https://www.ncbi.nlm.nih.gov/pubmed/36292152
http://dx.doi.org/10.3390/diagnostics12102463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600201/
https://www.ncbi.nlm.nih.gov/pubmed/36292152
http://dx.doi.org/10.3390/diagnostics12102463

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