Predicting unplanned medical visits among patients with diabetes: translation from machine learning to clinical implementation

BACKGROUND: Diabetes is a medical and economic burden in the United States. In this study, a machine learning predictive model was developed to predict unplanned medical visits among patients with diabetes, and findings were used to design a clinical intervention in the sponsoring healthcare organiz...

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Detalles Bibliográficos
Autores principales: Selya, Arielle, Anshutz, Drake, Griese, Emily, Weber, Tess L., Hsu, Benson, Ward, Cheryl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011134/
https://www.ncbi.nlm.nih.gov/pubmed/33789660
http://dx.doi.org/10.1186/s12911-021-01474-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011134/
https://www.ncbi.nlm.nih.gov/pubmed/33789660
http://dx.doi.org/10.1186/s12911-021-01474-1

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