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Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking
OBJECTIVE: Normalizing clinical mentions to concepts in standardized medical terminologies, in general, is challenging due to the complexity and variety of the terms in narrative medical records. In this article, we introduce our work on a clinical natural language processing (NLP) system to automat...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7647369/ https://ncbi.nlm.nih.gov/pubmed/33029642 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa155 |
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