Development of non-invasive diabetes risk prediction models as decision support tools designed for application in the dental clinical environment

The objective was to develop a predictive model using medical-dental data from an integrated electronic health record (iEHR) to identify individuals with undiagnosed diabetes mellitus (DM) in dental settings. Retrospective data retrieved from Marshfield Clinic Health System’s data-warehouse was pre-...

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Detalles Bibliográficos
Autores principales: Hegde, Harshad, Shimpi, Neel, Panny, Aloksagar, Glurich, Ingrid, Christie, Pamela, Acharya, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453822/
https://www.ncbi.nlm.nih.gov/pubmed/32864420
http://dx.doi.org/10.1016/j.imu.2019.100254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453822/
https://www.ncbi.nlm.nih.gov/pubmed/32864420
http://dx.doi.org/10.1016/j.imu.2019.100254

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