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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
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

Internet

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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