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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 en: | J Am Med Inform Assoc |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | 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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