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Natural Language Processing to Identify Pneumonia from Radiology Reports

PURPOSE: To develop Natural Language Processing (NLP) approaches to supplement manual outcome validation, specifically to validate pneumonia cases from chest radiograph reports. METHODS: We trained one NLP system, ONYX, using radiograph reports from children and adults that were previously manually...

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Detalhes bibliográficos
Main Authors: Dublin, Sascha, Baldwin, Eric, Walker, Rod L., Christensen, Lee M., Haug, Peter J., Jackson, Michael L., Nelson, Jennifer C., Ferraro, Jeffrey, Carrell, David, Chapman, Wendy W.
Formato: Artigo
Idioma:Inglês
Publicado em: 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3811072/
https://ncbi.nlm.nih.gov/pubmed/23554109
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/pds.3418
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