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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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| Опубликовано в: : | J Am Med Inform Assoc |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2019
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| Предметы: | |
| Online-ссылка: | 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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