Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features

Objective Social media is becoming increasingly popular as a platform for sharing personal health-related information. This information can be utilized for public health monitoring tasks, particularly for pharmacovigilance, via the use of natural language processing (NLP) techniques. However, the la...

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Detalles Bibliográficos
Autores principales: Nikfarjam, Azadeh, Sarker, Abeed, O’Connor, Karen, Ginn, Rachel, Gonzalez, Graciela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4457113/
https://www.ncbi.nlm.nih.gov/pubmed/25755127
http://dx.doi.org/10.1093/jamia/ocu041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4457113/
https://www.ncbi.nlm.nih.gov/pubmed/25755127
http://dx.doi.org/10.1093/jamia/ocu041

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