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Extracting entities with attributes in clinical text via joint deep learning
OBJECTIVE: Extracting clinical entities and their attributes is a fundamental task of natural language processing (NLP) in the medical domain. This task is typically recognized as 2 sequential subtasks in a pipeline, clinical entity or attribute recognition followed by entity-attribute relation extr...
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| Izdano u: | J Am Med Inform Assoc |
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| Glavni autori: | , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Oxford University Press
2019
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7647140/ https://ncbi.nlm.nih.gov/pubmed/31550346 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz158 |
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