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Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods
OBJECTIVE: Identification of drugs, associated medication entities, and interactions among them are crucial to prevent unwanted effects of drug therapy, known as adverse drug events. This article describes our participation to the n2c2 shared-task in extracting relations between medication-related e...
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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
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6913215/ https://ncbi.nlm.nih.gov/pubmed/31390003 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz101 |
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