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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Detalles Bibliográficos
Autores principales: Christopoulou, Fenia, Tran, Thy Thy, Sahu, Sunil Kumar, 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/PMC6913215/
https://www.ncbi.nlm.nih.gov/pubmed/31390003
http://dx.doi.org/10.1093/jamia/ocz101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913215/
https://www.ncbi.nlm.nih.gov/pubmed/31390003
http://dx.doi.org/10.1093/jamia/ocz101

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