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Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning
OBJECTIVE: Detecting adverse drug events (ADEs) and medications related information in clinical notes is important for both hospital medical care and medical research. We describe our clinical natural language processing (NLP) system to automatically extract medical concepts and relations related to...
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| Veröffentlicht in: | J Am Med Inform Assoc |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7489056/ https://ncbi.nlm.nih.gov/pubmed/31591641 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz141 |
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