Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record

OBJECTIVE: To compare three groupings of Electronic Health Record (EHR) billing codes for their ability to represent clinically meaningful phenotypes and to replicate known genetic associations. The three tested coding systems were the International Classification of Diseases, Ninth Revision, Clinic...

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Detalles Bibliográficos
Autores principales: Wei, Wei-Qi, Bastarache, Lisa A., Carroll, Robert J., Marlo, Joy E., Osterman, Travis J., Gamazon, Eric R., Cox, Nancy J., Roden, Dan M., Denny, Joshua C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5501393/
https://www.ncbi.nlm.nih.gov/pubmed/28686612
http://dx.doi.org/10.1371/journal.pone.0175508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5501393/
https://www.ncbi.nlm.nih.gov/pubmed/28686612
http://dx.doi.org/10.1371/journal.pone.0175508

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