Automatic Identification of Messages Related to Adverse Drug Reactions from Online User Reviews using Feature-based Classification

BACKGROUND: User-generated medical messages on Internet contain extensive information related to adverse drug reactions (ADRs) and are known as valuable resources for post-marketing drug surveillance. The aim of this study was to find an effective method to identify messages related to ADRs automati...

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Detalles Bibliográficos
Autores principales: LIU, Jingfang, ZHANG, Pengzhu, LU, Yingjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2014
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449501/
https://www.ncbi.nlm.nih.gov/pubmed/26060719

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449501/
https://www.ncbi.nlm.nih.gov/pubmed/26060719

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