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An ensemble of neural models for nested adverse drug events and medication extraction with subwords

OBJECTIVE: This article describes an ensembling system to automatically extract adverse drug events and drug related entities from clinical narratives, which was developed for the 2018 n2c2 Shared Task Track 2. MATERIALS AND METHODS: We designed a neural model to tackle both nested (entities embedde...

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Podrobná bibliografie
Vydáno v:J Am Med Inform Assoc
Hlavní autoři: Ju, Meizhi, Nguyen, Nhung T H, Miwa, Makoto, Ananiadou, Sophia
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2019
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6913208/
https://ncbi.nlm.nih.gov/pubmed/31197355
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz075
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