Published on in Vol 6, No 9 (2017): September

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

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

Journals

  1. Chen X, Faviez C, Schuck S, Lillo-Le-Louët A, Texier N, Dahamna B, Huot C, Foulquié P, Pereira S, Leroux V, Karapetiantz P, Guenegou-Arnoux A, Katsahian S, Bousquet C, Burgun A. Mining Patients' Narratives in Social Media for Pharmacovigilance: Adverse Effects and Misuse of Methylphenidate. Frontiers in Pharmacology 2018;9 View
  2. Abdellaoui R, Foulquié P, Texier N, Faviez C, Burgun A, Schück S. Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach. Journal of Medical Internet Research 2018;20(3):e85 View
  3. Martin L, Hanssens Y, Paudyal V. Overview of this issue: pharmacovigilance, what is new?. International Journal of Clinical Pharmacy 2018;40(4):737 View
  4. Pappa D, Stergioulas L. Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions. International Journal of Data Science and Analytics 2019;8(2):113 View
  5. Arnoux-Guenegou A, Girardeau Y, Chen X, Deldossi M, Aboukhamis R, Faviez C, Dahamna B, Karapetiantz P, Guillemin-Lanne S, Lillo-Le Louët A, Texier N, Burgun A, Katsahian S. The Adverse Drug Reactions From Patient Reports in Social Media Project: Protocol for an Evaluation Against a Gold Standard. JMIR Research Protocols 2019;8(5):e11448 View
  6. Wang J, Deng H, Liu B, Hu A, Liang J, Fan L, Zheng X, Wang T, Lei J. Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed. Journal of Medical Internet Research 2020;22(1):e16816 View
  7. Baldo P, Fornasier G, Ciolfi L, Sartor I, Francescon S. Pharmacovigilance in oncology. International Journal of Clinical Pharmacy 2018;40(4):832 View
  8. Chung A, La Grenade L, Harinstein L. Pruritus after discontinuation of cetirizine. Therapeutic Advances in Drug Safety 2019;10 View
  9. Audeh B, Bellet F, Beyens M, Lillo-Le Louët A, Bousquet C. Use of Social Media for Pharmacovigilance Activities: Key Findings and Recommendations from the Vigi4Med Project. Drug Safety 2020;43(9):835 View
  10. Abatemarco D, Perera S, Bao S, Desai S, Assuncao B, Tetarenko N, Danysz K, Mockute R, Widdowson M, Fornarotto N, Beauchamp S, Cicirello S, Mingle E. Training Augmented Intelligent Capabilities for Pharmacovigilance: Applying Deep-learning Approaches to Individual Case Safety Report Processing. Pharmaceutical Medicine 2018;32(6):391 View
  11. Dhayne H, Haque R, Kilany R, Taher Y. In Search of Big Medical Data Integration Solutions - A Comprehensive Survey. IEEE Access 2019;7:91265 View
  12. Singh J, Kumar R, Sharma P, Singha M. Big Data Analytics and Pharmacovigilance—An Ethical and Legal Consideration. AMEI's Current Trends in Diagnosis & Treatment 2018;2(1):58 View
  13. Prabhune A, Sethiya N, Arora H. A research framework for passive surveillance for food safety from social media: Identification and evaluation of customer reviews for regulatory use and case study of 30 restaurants. Indian Journal of Forensic and Community Medicine 2023;9(4):146 View
  14. Dirkson A, Verberne S, Kraaij W, van Oortmerssen G, Gelderblom H. Automated gathering of real-world data from online patient forums can complement pharmacovigilance for rare cancers. Scientific Reports 2022;12(1) View
  15. Roche V, Robert J, Salam H. AI-Based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum. SSRN Electronic Journal 2021 View
  16. Roche V, Robert J, Salam H. A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media. Artificial Intelligence in Medicine 2023;144:102638 View
  17. Nishioka S, Watabe S, Yanagisawa Y, Sayama K, Kizaki H, Imai S, Someya M, Taniguchi R, Yada S, Aramaki E, Hori S. Adverse Event Signal Detection Using Patients’ Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models. Journal of Medical Internet Research 2024;26:e55794 View
  18. Karapetiantz P, Audeh B, Redjdal A, Tiffet T, Bousquet C, Jaulent M. Monitoring Adverse Drug Events in Web Forums: Evaluation of a Pipeline and Use Case Study. Journal of Medical Internet Research 2024;26:e46176 View
  19. Zhang P, Kamitaki B, Do T. Crowdsourcing Adverse Events Associated With Monoclonal Antibodies Targeting Calcitonin Gene–Related Peptide Signaling for Migraine Prevention: Natural Language Processing Analysis of Social Media. JMIR Formative Research 2024;8:e58176 View
  20. Zhang J, Chung K. Online Naturalistic Data Inquiry for Stakeholder Issue Analysis: Design and Implementation. Project Leadership and Society 2024:100163 View

Books/Policy Documents

  1. Houÿez F. Communicating about Risks and Safe Use of Medicines. View