Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients
Abstract 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 util...
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Autores principales: | Maor Lewis, Guy Elad, Moran Beladev, Gal Maor, Kira Radinsky, Dor Hermann, Yoav Litani, Tal Geller, Jesse M. Pines, Nathan l. Shapiro, Jose F. Figueroa |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/f374a3edbdbc4699a647b014e2baa60d |
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