This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1274) Participatory Medicine & E-Patients (758) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013)

Published on in Vol 20, No 3 (2018): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9222, first published .
Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach

Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach

Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach

Authors of this article:

Redhouane Abdellaoui1 Author Orcid Image ;   Pierre Foulquié2 Author Orcid Image ;   Nathalie Texier2 Author Orcid Image ;   Carole Faviez2 Author Orcid Image ;   Anita Burgun1, 3 Author Orcid Image ;   Stéphane Schück2 Author Orcid Image
Article Authors Cited by (23) Tweetations (16) Metrics

Journals

  1. 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
  2. Yin Z, Sulieman L, Malin B. A systematic literature review of machine learning in online personal health data. Journal of the American Medical Informatics Association 2019;26(6):561 View
  3. Jelodar H, Wang Y, Vajdi A, Rabbani M, Zhao R, Boukela L, Li H. A Hybrid Fuzzy System via Topic Model for Recommending Highlight Topics of CQA in Developer Communities. Journal of Circuits, Systems and Computers 2020;29(15):2050248 View
  4. Song M, Xie Q. Characterizing the psychiatric drug responses of Reddit users from a socialomics perspective. Journal of Informetrics 2020;14(3):101056 View
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  6. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
  7. Karapetiantz P, Lillo-Le Louët A, Bousquet C. Informativité des forums de discussion français pour l’évaluation des effets indésirables du baclofène. Therapies 2019;74(6):569 View
  8. 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
  9. Kamiński M, Borger M, Prymas P, Muth A, Stachowski A, Łoniewski I, Marlicz W. Analysis of Answers to Queries among Anonymous Users with Gastroenterological Problems on an Internet Forum. International Journal of Environmental Research and Public Health 2020;17(3):1042 View
  10. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  11. Lay J, Seneviratne U, Fok A, Roberts H, Phan T. Discovering themes in medical records of patients with psychogenic non-epileptic seizures. BMJ Neurology Open 2020;2(2):e000087 View
  12. 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
  13. Harrison C, Sidey-Gibbons C. Machine learning in medicine: a practical introduction to natural language processing. BMC Medical Research Methodology 2021;21(1) View
  14. Koss J, Rheinlaender A, Truebel H, Bohnet-Joschko S. Social media mining in drug development—Fundamentals and use cases. Drug Discovery Today 2021;26(12):2871 View
  15. Ziletti A, Berns C, Treichel O, Weber T, Liang J, Kammerath S, Schwaerzler M, Virayah J, Ruau D, Ma X, Mattern A. Discovering Key Topics From Short, Real-World Medical Inquiries via Natural Language Processing. Frontiers in Computer Science 2021;3 View
  16. 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
  17. Chakriswaran P, Vincent D, Kadry S. Ensemble of Artificial Intelligence Techniques for Bacterial Antimicrobial Resistance (AMR) Estimation Using Topic Modeling and Similarity Measure. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2022;30(03):541 View
  18. Hagg L, Merkouris S, O’Dea G, Francis L, Greenwood C, Fuller-Tyszkiewicz M, Westrupp E, Macdonald J, Youssef G. Examining Analytic Practices in Latent Dirichlet Allocation Within Psychological Science: Scoping Review. Journal of Medical Internet Research 2022;24(11):e33166 View
  19. Renner S, Loussikian P, Foulquié P, Arnould B, Marrel A, Barbier V, Mebarki A, Schück S, Bharmal M. Perceived Unmet Needs in Patients Living With Advanced Bladder Cancer and Their Caregivers: Infodemiology Study Using Data From Social Media in the United States. JMIR Cancer 2022;8(3):e37518 View
  20. Weissenbacher D, Ge S, Klein A, O’Connor K, Gross R, Hennessy S, Gonzalez-Hernandez G. Active neural networks to detect mentions of changes to medication treatment in social media. Journal of the American Medical Informatics Association 2021;28(12):2551 View
  21. Nishiyama T, Yada S, Wakamiya S, Hori S, Aramaki E. Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach. Journal of Medical Internet Research 2023;25:e44870 View
  22. Yao S, Wang F, Chen J, Lu Q. Utilizing health-related text on social media for depression research: themes and methods. Library Hi Tech 2023 View

Books/Policy Documents

  1. de Alencar Almeida R, Carvalho D. Computational Neuroscience. View