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Algorithmic identification of atypical diabetes in electronic health record (EHR) systems
AIMS: Understanding atypical forms of diabetes (AD) may advance precision medicine, but methods to identify such patients are needed. We propose an electronic health record (EHR)-based algorithmic approach to identify patients who may have AD, specifically those with insulin-sufficient, non-metaboli...
Autores principales: | Cromer, Sara J., Chen, Victoria, Han, Christopher, Marshall, William, Emongo, Shekina, Greaux, Evelyn, Majarian, Tim, Florez, Jose C., Mercader, Josep, Udler, Miriam S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744270/ https://www.ncbi.nlm.nih.gov/pubmed/36508462 http://dx.doi.org/10.1371/journal.pone.0278759 |
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