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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-...
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| Publicado no: | Inform Med Unlocked |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7453822/ https://ncbi.nlm.nih.gov/pubmed/32864420 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.imu.2019.100254 |
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