Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction

BACKGROUND: Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance. We study the problem of extraction of Adverse-Drug-Reaction (ADR) mentions from social media...

Descripción completa

Detalles Bibliográficos
Autores principales: Gupta, Shashank, Pawar, Sachin, Ramrakhiyani, Nitin, Palshikar, Girish Keshav, Varma, Vasudeva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998760/
https://www.ncbi.nlm.nih.gov/pubmed/29897321
http://dx.doi.org/10.1186/s12859-018-2192-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998760/
https://www.ncbi.nlm.nih.gov/pubmed/29897321
http://dx.doi.org/10.1186/s12859-018-2192-4

Ejemplares similares