Not there yet: using data-driven methods to predict who becomes costly among low-cost patients with type 2 diabetes
Abstract 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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-08-01
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| Series: | BMC Endocrine Disorders |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12902-020-00609-1 |