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Not there yet: using data-driven methods to predict who becomes costly among low-cost patients with type 2 diabetes
BACKGROUND: Diabetes is a leading cause of Medicare spending; predicting which individuals are likely to be costly is essential for targeting interventions. Current approaches generally focus on composite measures, short time-horizons, or patients who are already high utilizers, whose costs may be h...
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| Veröffentlicht in: | BMC Endocr Disord |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7433196/ https://ncbi.nlm.nih.gov/pubmed/32807156 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12902-020-00609-1 |
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