Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder

OBJECTIVE: Cohort selection is challenging for large-scale electronic health record (EHR) analyses, as International Classification of Diseases 9(th) edition (ICD-9) diagnostic codes are notoriously unreliable disease predictors. Our objective was to develop, evaluate, and validate an automated algo...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Lingren, Todd, Chen, Pei, Bochenek, Joseph, Doshi-Velez, Finale, Manning-Courtney, Patty, Bickel, Julie, Wildenger Welchons, Leah, Reinhold, Judy, Bing, Nicole, Ni, Yizhao, Barbaresi, William, Mentch, Frank, Basford, Melissa, Denny, Joshua, Vazquez, Lyam, Perry, Cassandra, Namjou, Bahram, Qiu, Haijun, Connolly, John, Abrams, Debra, Holm, Ingrid A., Cobb, Beth A., Lingren, Nataline, Solti, Imre, Hakonarson, Hakon, Kohane, Isaac S., Harley, John, Savova, Guergana
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2016
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4966969/
https://ncbi.nlm.nih.gov/pubmed/27472449
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0159621
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