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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-...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2019
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| Materias: | |
| 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 |