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Not There Yet: Using Data‐Driven Methods to Predict Who Becomes Costly Among Low‐Cost Patients with Type 2 Diabetes
RESEARCH OBJECTIVE: Diabetes is a leading cause of Medicare spending, and predicting which individuals are likely to have high health care costs is essential for targeting interventions. Current approaches to predicting spending generally focus on composite measures, short time horizons, or patients...
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| Publicado no: | Health Serv Res |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7440440/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/1475-6773.13434 |
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