Published on in Vol 3, No 1 (2017): Jan-Mar

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

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

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

Journals

  1. Brunson E, Chandler H, Gronvall G, Ravi S, Sell T, Shearer M, Schoch-Spana M. The SPARS Pandemic 2025-2028: A Futuristic Scenario to Facilitate Medical Countermeasure Communication. Journal of International Crisis and Risk Communication Research 2020;3(1):71 View
  2. Ryu Y. Text-Mining of Online Discourse to Characterize the Nature of Pain in Low Back Pain. Journal of The Korean Society of Physical Medicine 2019;14(3):55 View
  3. Bousquet C, Dahamna B, Guillemin-Lanne S, Darmoni S, Faviez C, Huot C, Katsahian S, Leroux V, Pereira S, Richard C, Schück S, Souvignet J, Lillo-Le Louët A, Texier N. The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process. JMIR Research Protocols 2017;6(9):e179 View
  4. Taylor J, Pagliari C. Mining social media data: How are research sponsors and researchers addressing the ethical challenges?. Research Ethics 2018;14(2):1 View
  5. Roccetti M, Marfia G, Salomoni P, Prandi C, Zagari R, Gningaye Kengni F, Bazzoli F, Montagnani M. Attitudes of Crohn’s Disease Patients: Infodemiology Case Study and Sentiment Analysis of Facebook and Twitter Posts. JMIR Public Health and Surveillance 2017;3(3):e51 View
  6. Evans Y, Gridley S, Crouch J, Wang A, Moreno M, Ahrens K, Breland D. Understanding Online Resource Use by Transgender Youth and Caregivers: A Qualitative Study. Transgender Health 2017;2(1):129 View
  7. 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
  8. Vidal F. Phenomenology of the Locked-In Syndrome: an Overview and Some Suggestions. Neuroethics 2020;13(2):119 View
  9. Priyadarshi A, Saha S. Web Information Extraction for Finding Remedy Based on a Patient-Authored Text: A Study on Homeopathy. Network Modeling Analysis in Health Informatics and Bioinformatics 2020;9(1) View
  10. Borchert J, Wang B, Ramzanali M, Stein A, Malaiyandi L, Dineley K. Adverse Events Due to Insomnia Drugs Reported in a Regulatory Database and Online Patient Reviews: Comparative Study. Journal of Medical Internet Research 2019;21(11):e13371 View
  11. Perez E, Jaffee E, Whyte J, Boyce C, Carpten J, Lozano G, Williams R, Winkfield K, Bernstein D, Poblete S. Analysis of Population Differences in Digital Conversations About Cancer Clinical Trials: Advanced Data Mining and Extraction Study. JMIR Cancer 2021;7(3):e25621 View
  12. Matsuda S, Ohtomo T, Tomizawa S, Miyano Y, Mogi M, Kuriki H, Nakayama T, Watanabe S. Incorporating Unstructured Patient Narratives and Health Insurance Claims Data in Pharmacovigilance: Natural Language Processing Analysis of Patient-Generated Texts About Systemic Lupus Erythematosus. JMIR Public Health and Surveillance 2021;7(6):e29238 View
  13. Kaas‐Hansen B, Placido D, Rodríguez C, Thorsen‐Meyer H, Gentile S, Nielsen A, Brunak S, Jürgens G, Andersen S. Language‐agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records. Basic & Clinical Pharmacology & Toxicology 2022;131(4):282 View
  14. Pathak R, Catalan-Matamoros D. Can Twitter posts serve as early indicators for potential safety signals? A retrospective analysis. International Journal of Risk & Safety in Medicine 2023;34(1):41 View
  15. Sormunen T, Westerbotn M, Aanesen A, Fossum B, Karlgren K. Social media in the infertile community—using a text analysis tool to identify the topics of discussion on the multitude of infertility blogs. Women's Health 2021;17:174550652110632 View
  16. Li J, Tang L, Pu Y. My Story of Depression: A Content Analysis of Autobiographic Videos on Douyin. Health Communication 2024;39(5):906 View
  17. Matsuda S, Ohtomo T, Okuyama M, Miyake H, Aoki K. Estimating Patient Satisfaction Through a Language Processing Model: Model Development and Evaluation. JMIR Formative Research 2023;7:e48534 View
  18. Zhao J, Harvey G, Vandyk A, Huang M, Gifford W. Consolidating a program theory on how social media supports health care providers’ knowledge use in clinical practice: a realist-informed qualitative study. Interdisciplinary Nursing Research 2023;2(4):203 View