Adverse Drug Events Detection, Pharmacovigilance and Surveillance

Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure

Ahmad P Tafti, Jonathan Badger, Eric LaRose, Ehsan Shirzadi, Andrea Mahnke, John Mayer, Zhan Ye, David Page, Peggy Peissig

JMIR Med Inform 2017 (Dec 08); 5(4):e51

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Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data

Sunny Jung Kim, Lisa A Marsch, Jeffrey T Hancock, Amarendra K Das

J Med Internet Res 2017 (Oct 31); 19(10):e353

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The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process

Cedric Bousquet, Badisse Dahamna, Sylvie Guillemin-Lanne, Stefan J Darmoni, Carole Faviez, Charles Huot, Sandrine Katsahian, Vincent Leroux, Suzanne Pereira, Christophe Richard, Stéphane Schück, Julien Souvignet, Agnès Lillo-Le Louët, Nathalie Texier

JMIR Res Protoc 2017 (Sep 21); 6(9):e179

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Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data

Ireneus Kagashe, Zhijun Yan, Imran Suheryani

J Med Internet Res 2017 (Sep 12); 19(9):e315

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

Redhouane Abdellaoui, Stéphane Schück, Nathalie Texier, Anita Burgun

JMIR Public Health Surveill 2017 (Jun 22); 3(2):e36

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Analysis of Patient Narratives in Disease Blogs on the Internet: An Exploratory Study of Social Pharmacovigilance

Shinichi Matsuda, Kotonari Aoki, Shiho Tomizawa, Masayoshi Sone, Riwa Tanaka, Hiroshi Kuriki, Yoichiro Takahashi

JMIR Public Health Surveill 2017 (Feb 24); 3(1):e10

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