Development and evaluation of an EHR‐based computable phenotype for identification of pediatric Crohn's disease patients in a National Pediatric Learning Health System

Abstract Objectives To develop and evaluate the classification accuracy of a computable phenotype for pediatric Crohn's disease using electronic health record data from PEDSnet, a large, multi‐institutional research network and Learning Health System. Study Design Using clinician and informatic...

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Autores principales: Ritu Khare (Autor), Michael D. Kappelman (Autor), Charles Samson (Autor), Jennifer Pyrzanowski (Autor), Rahul A. Darwar (Autor), Christopher B. Forrest (Autor), Charles C. Bailey (Autor), Peter Margolis (Autor), Amanda Dempsey (Autor), And the PEDSnet Computable Phenotype Working Group (Autor)
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Publicado: Wiley, 2020-10-01T00:00:00Z.
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Número de Clasificación: A1234.567
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