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SAT-LB111 Improving Classification of Diabetes Etiology in Electronic Resources Using Phenotype Algorithms and Polygenic Risk Scores

Electronic Health Records (EHR) contain rich data to identify and study diabetes. Many phenotype algorithms have been developed to identify research subjects with type 2 diabetes (T2D), but very few accurately identify type 1 diabetes (T1D) cases or more rare forms of monogenic and atypical metaboli...

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Detalhes bibliográficos
Publicado no:J Endocr Soc
Main Authors: Sulieman, Lina, He, Jing, Carroll, Robert, Bastarache, Lisa, Ramirez, Andrea
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7209076/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1210/jendso/bvaa046.2239
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