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...

Descripción completa

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

Internet

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

Ejemplares similares