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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Detalles Bibliográficos
Autores principales: Ju, Meizhi, Nguyen, Nhung T H, Miwa, Makoto, Ananiadou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913208/
https://www.ncbi.nlm.nih.gov/pubmed/31197355
http://dx.doi.org/10.1093/jamia/ocz075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913208/
https://www.ncbi.nlm.nih.gov/pubmed/31197355
http://dx.doi.org/10.1093/jamia/ocz075

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