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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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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7806727/ https://ncbi.nlm.nih.gov/pubmed/33441908 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-80856-3 |
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