Published on in Vol 20, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10466, first published .
Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis

Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis

Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis

Journals

  1. Caster O, Dietrich J, Kürzinger M, Lerch M, Maskell S, Norén G, Tcherny-Lessenot S, Vroman B, Wisniewski A, van Stekelenborg J. Assessment of the Utility of Social Media for Broad-Ranging Statistical Signal Detection in Pharmacovigilance: Results from the WEB-RADR Project. Drug Safety 2018;41(12):1355 View
  2. Bate A, Hornbuckle K, Juhaeri J, Motsko S, Reynolds R. Hypothesis-free signal detection in healthcare databases: finding its value for pharmacovigilance. Therapeutic Advances in Drug Safety 2019;10:204209861986474 View
  3. Cotté F, Voillot P, Bennett B, Falissard B, Tzourio C, Foulquié P, Gaudin A, Lemasson H, Grumberg V, McDonald L, Faviez C, Schück S. Exploring the Health-Related Quality of Life of Patients Treated With Immune Checkpoint Inhibitors: Social Media Study. Journal of Medical Internet Research 2020;22(9):e19694 View
  4. Gavrielov‐Yusim N, Kürzinger M, Nishikawa C, Pan C, Pouget J, Epstein L, Golant Y, Tcherny‐Lessenot S, Lin S, Hamelin B, Juhaeri J. Comparison of text processing methods in social media–based signal detection. Pharmacoepidemiology and Drug Safety 2019;28(10):1309 View
  5. Schäfer F, Faviez C, Voillot P, Foulquié P, Najm M, Jeanne J, Fagherazzi G, Schück S, Le Nevé B. Mapping and Modeling of Discussions Related to Gastrointestinal Discomfort in French-Speaking Online Forums: Results of a 15-Year Retrospective Infodemiology Study. Journal of Medical Internet Research 2020;22(11):e17247 View
  6. Schück S, Roustamal A, Gedik A, Voillot P, Foulquié P, Penfornis C, Job B. Assessing Patient Perceptions and Experiences of Paracetamol in France: Infodemiology Study Using Social Media Data Mining. Journal of Medical Internet Research 2021;23(7):e25049 View
  7. Nishioka S, Watanabe T, Asano M, Yamamoto T, Kawakami K, Yada S, Aramaki E, Yajima H, Kizaki H, Hori S, Yang J. Identification of hand-foot syndrome from cancer patients’ blog posts: BERT-based deep-learning approach to detect potential adverse drug reaction symptoms. PLOS ONE 2022;17(5):e0267901 View
  8. Renner S, Marty T, Khadhar M, Foulquié P, Voillot P, Mebarki A, Montagni I, Texier N, Schück S. A New Method to Extract Health-Related Quality of Life Data From Social Media Testimonies: Algorithm Development and Validation. Journal of Medical Internet Research 2022;24(1):e31528 View
  9. Arquembourg J, Glaser P, Roblot F, Metzler I, Gallant-Dewavrin M, Mebarki A, Voillot P, Schück S, Lalaude O. Social Media Platforms Listening Study on Antibiotic Resistance: Quantitative and Qualitative Findings. (Preprint). JMIR Formative Research 2022 View
  10. Voillot P, Riche B, Portafax M, Foulquié P, Gedik A, Barbarot S, Misery L, Héas S, Mebarki A, Texier N, Schück S. Social Media Platforms Listening Study on Atopic Dermatitis: Quantitative and Qualitative Findings. Journal of Medical Internet Research 2022;24(1):e31140 View
  11. Goadsby P, Ruiz de la Torre E, Constantin L, Amand C. Social Media Listening and Digital Profiling Study of People With Headache and Migraine: Retrospective Infodemiology Study. Journal of Medical Internet Research 2023;25:e40461 View
  12. Nishioka S, Asano M, Yada S, Aramaki E, Yajima H, Yanagisawa Y, Sayama K, Kizaki H, Hori S. Adverse event signal extraction from cancer patients’ narratives focusing on impact on their daily-life activities. Scientific Reports 2023;13(1) View

Books/Policy Documents

  1. Dasgupta N, Winokur C, Pierce C. Communicating about Risks and Safe Use of Medicines. View
  2. Khoroshevsky V, Efimenko V, Efimenko I. Artificial Intelligence. View
  3. Dumitriu A, Molony C, Daluwatte C. Provenance in Data Science. View