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DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter

OBJECTIVE: Research on pharmacovigilance from social media data has focused on mining adverse drug events (ADEs) using annotated datasets, with publications generally focusing on 1 of 3 tasks: ADE classification, named entity recognition for identifying the span of ADE mentions, and ADE mention norm...

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Detalles Bibliográficos
Autores principales:	Magge, Arjun, Tutubalina, Elena, Miftahutdinov, Zulfat, Alimova, Ilseyar, Dirkson, Anne, Verberne, Suzan, Weissenbacher, Davy, Gonzalez-Hernandez, Graciela
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Research and Applications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449608/ https://www.ncbi.nlm.nih.gov/pubmed/34270701 http://dx.doi.org/10.1093/jamia/ocab114

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