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Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing
OBJECTIVES: The aim of this study was to test the ability of a commercially-available NLP tool to accurately extract exam quality-related and large polyp information from colonoscopy reports with varying report formats. BACKGROUND: Colonoscopy quality reporting often requires manual data abstraction...
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| Publicado no: | J Clin Gastroenterol |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5847417/ https://ncbi.nlm.nih.gov/pubmed/28906424 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MCG.0000000000000929 |
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