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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...
Gorde:
| Argitaratua izan da: | Health Serv Res |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
John Wiley and Sons Inc.
2020
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7440440/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/1475-6773.13434 |
| Etiketak: |
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