Articles published in 2017 in this theme: 4 (scroll down to load remaining articles)
2017
![The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process](https://asset.jmir.pub/assets/thumbs/d2230290b42cc49fd9bc05edf3509bc3.png 480w,https://asset.jmir.pub/assets/thumbs/d2230290b42cc49fd9bc05edf3509bc3.png 960w,https://asset.jmir.pub/assets/thumbs/d2230290b42cc49fd9bc05edf3509bc3.png 1920w,https://asset.jmir.pub/assets/thumbs/d2230290b42cc49fd9bc05edf3509bc3.png 2500w)
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):e179Download Citation: END BibTex RIS
![Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help? Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?](https://asset.jmir.pub/assets/thumbs/9c5d872aefcadde61c8a7d52d4273877.png 480w,https://asset.jmir.pub/assets/thumbs/9c5d872aefcadde61c8a7d52d4273877.png 960w,https://asset.jmir.pub/assets/thumbs/9c5d872aefcadde61c8a7d52d4273877.png 1920w,https://asset.jmir.pub/assets/thumbs/9c5d872aefcadde61c8a7d52d4273877.png 2500w)
Redhouane Abdellaoui, Stéphane Schück, Nathalie Texier, Anita Burgun
JMIR Public Health Surveill 2017 (Jun 22); 3(2):e36Download Citation: END BibTex RIS
![TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations](https://asset.jmir.pub/assets/thumbs/9d80263beb2d467f8965e667a2e4a2d7.png 480w,https://asset.jmir.pub/assets/thumbs/9d80263beb2d467f8965e667a2e4a2d7.png 960w,https://asset.jmir.pub/assets/thumbs/9d80263beb2d467f8965e667a2e4a2d7.png 1920w,https://asset.jmir.pub/assets/thumbs/9d80263beb2d467f8965e667a2e4a2d7.png 2500w)
TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations
Nestor Alvaro, Yusuke Miyao, Nigel Collier
JMIR Public Health Surveill 2017 (May 03); 3(2):e24Download Citation: END BibTex RIS
![Using Social Listening Data to Monitor Misuse and Nonmedical Use of Bupropion: A Content Analysis Using Social Listening Data to Monitor Misuse and Nonmedical Use of Bupropion: A Content Analysis](https://asset.jmir.pub/assets/thumbs/34a6d8f14352f3245a40fcf9b6013f67.png 480w,https://asset.jmir.pub/assets/thumbs/34a6d8f14352f3245a40fcf9b6013f67.png 960w,https://asset.jmir.pub/assets/thumbs/34a6d8f14352f3245a40fcf9b6013f67.png 1920w,https://asset.jmir.pub/assets/thumbs/34a6d8f14352f3245a40fcf9b6013f67.png 2500w)
Using Social Listening Data to Monitor Misuse and Nonmedical Use of Bupropion: A Content Analysis
Laurie S. Anderson, Heidi G Bell, Michael Gilbert, Julie E Davidson, Christina Winter, Monica J Barratt, Beta Win, Jeffery L Painter, Christopher Menone, Jonathan Sayegh, Nabarun Dasgupta
JMIR Public Health Surveill 2017 (Feb 01); 3(1):e6Download Citation: END BibTex RIS