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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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| Autors principals: | , , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2013
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| Matèries: | |
| Accés en línia: | 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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