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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966969/
https://www.ncbi.nlm.nih.gov/pubmed/27472449
http://dx.doi.org/10.1371/journal.pone.0159621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966969/
https://www.ncbi.nlm.nih.gov/pubmed/27472449
http://dx.doi.org/10.1371/journal.pone.0159621

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