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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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Библиографические подробности
Опубликовано в: :J Am Med Inform Assoc
Главные авторы: Christopoulou, Fenia, Tran, Thy Thy, Sahu, Sunil Kumar, Miwa, Makoto, Ananiadou, Sophia
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2019
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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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