Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?

BACKGROUND: With the increasing popularity of Web 2.0 applications, social media has made it possible for individuals to post messages on adverse drug reactions. In such online conversations, patients discuss their symptoms, medical history, and diseases. These disorders may correspond to adverse dr...

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Detalles Bibliográficos
Autores principales: Abdellaoui, Redhouane, Schück, Stéphane, Texier, Nathalie, Burgun, Anita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5500778/
https://www.ncbi.nlm.nih.gov/pubmed/28642212
http://dx.doi.org/10.2196/publichealth.6577

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5500778/
https://www.ncbi.nlm.nih.gov/pubmed/28642212
http://dx.doi.org/10.2196/publichealth.6577

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