Algorithmic identification of atypical diabetes in electronic health record (EHR) systems.

Algorithmic identification of atypical diabetes in electronic health record (EHR) systems.

<h4>Aims</h4>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-suffi...

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Bibliographic Details
Main Authors: Sara J Cromer, Victoria Chen, Christopher Han, William Marshall, Shekina Emongo, Evelyn Greaux, Tim Majarian, Jose C Florez, Josep Mercader, Miriam S Udler
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0278759

Internet

https://doi.org/10.1371/journal.pone.0278759

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