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Development of a Natural Language Processing System to Identify Timing and Status of Colonoscopy Testing in Electronic Medical Records
Colorectal cancer (CRC) screening rates are low despite proven benefits. We developed natural language processing (NLP) algorithms to identify temporal expressions and status indicators, such as “patient refused” or “test scheduled.” The authors incorporated the algorithms into the KnowledgeMap Conc...
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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2815478/ https://ncbi.nlm.nih.gov/pubmed/20351837 |
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