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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Detalles Bibliográficos
Autores principales: Lauffenburger, Julie C., Mahesri, Mufaddal, Choudhry, Niteesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433196/
https://www.ncbi.nlm.nih.gov/pubmed/32807156
http://dx.doi.org/10.1186/s12902-020-00609-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433196/
https://www.ncbi.nlm.nih.gov/pubmed/32807156
http://dx.doi.org/10.1186/s12902-020-00609-1

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