1. Mining Adverse Drug Reactions in Social Media with Named Entity Recognition and Semantic Methods
- Author
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Xiaoyi Chen, Myrtille Deldossi, Rim Aboukhamis, Carole Faviez, Badisse Dahamna, Pierre Karapetiantz, Armelle Guenegou-Arnoux, Yannick Girardeau, Sylvie Guillemin-Lanne, Agnès Lillo-Le-Louët, Nathalie Texier, Anita Burgun, Sandrine Katsahian, Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP)
- Subjects
MESH: Humans ,Drug-Related Side Effects and Adverse Reactions ,MESH: Data Mining ,MESH: Pharmacovigilance ,MESH: Adverse Drug Reaction Reporting Systems ,MESH: Drug-Related Side Effects and Adverse Reactions ,MESH: Semantics ,Semantics ,[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing ,Pharmacovigilance ,MESH: Social Media ,[SDV.SP.PHARMA]Life Sciences [q-bio]/Pharmaceutical sciences/Pharmacology ,Adverse Drug Reaction Reporting Systems ,Humans ,Data Mining ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Social Media - Abstract
International audience; Suspected adverse drug reactions (ADR) reported by patients through social media can be a complementary source to current pharmacovigilance systems. However, the performance of text mining tools applied to social media text data to discover ADRs needs to be evaluated. In this paper, we introduce the approach developed to mine ADR from French social media. A protocol of evaluation is highlighted, which includes a detailed sample size determination and evaluation corpus constitution. Our text mining approach provided very encouraging preliminary results with F-measures of 0.94 and 0.81 for recognition of drugs and symptoms respectively, and with F-measure of 0.70 for ADR detection. Therefore, this approach is promising for downstream pharmacovigilance analysis.
- Published
- 2017