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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
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 |
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