Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients

Recent health reforms have created incentives for cardiologists and accountable care organizations to participate in value-based care models for heart failure (HF). Accurate risk stratification of HF patients is critical to efficiently deploy interventions aimed at reducing preventable utilization....

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Detalles Bibliográficos
Autores principales: Lewis, Maor, Elad, Guy, Beladev, Moran, Maor, Gal, Radinsky, Kira, Hermann, Dor, Litani, Yoav, Geller, Tal, Pines, Jesse M., Shapiro, Nathan l., Figueroa, Jose F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806727/
https://www.ncbi.nlm.nih.gov/pubmed/33441908
http://dx.doi.org/10.1038/s41598-020-80856-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806727/
https://www.ncbi.nlm.nih.gov/pubmed/33441908
http://dx.doi.org/10.1038/s41598-020-80856-3

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