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Citing this Article

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Published on 24.02.17 in Vol 3, No 1 (2017): Jan-Mar

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

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

Shinichi Matsuda, Kotonari Aoki, Shiho Tomizawa, Masayoshi Sone, Riwa Tanaka, Hiroshi Kuriki, Yoichiro Takahashi

JMIR Public Health Surveill 2017 (Feb 24); 3(1):e10 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.6872):

(note that this is only a small subset of citations)

  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
    CrossRef
  2. . 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
    CrossRef
  3. Bousquet C, Dahamna B, Guillemin-Lanne S, Darmoni SJ, 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
    CrossRef
  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
    CrossRef
  5. Roccetti M, Marfia G, Salomoni P, Prandi C, Zagari RM, Gningaye Kengni FL, 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
    CrossRef
  6. Evans YN, Gridley SJ, Crouch J, Wang A, Moreno MA, Ahrens K, Breland DJ. Understanding Online Resource Use by Transgender Youth and Caregivers: A Qualitative Study. Transgender Health 2017;2(1):129
    CrossRef
  7. Pappa D, Stergioulas LK. 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
    CrossRef
  8. . Phenomenology of the Locked-In Syndrome: an Overview and Some Suggestions. Neuroethics 2020;13(2):119
    CrossRef
  9. Priyadarshi A, Saha SK. 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)
    CrossRef
  10. Borchert JS, Wang B, Ramzanali M, Stein AB, Malaiyandi LM, Dineley KE. 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
    CrossRef
  11. Perez EA, Jaffee EM, Whyte J, Boyce CA, Carpten JD, Lozano G, Williams RM, Winkfield KM, 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
    CrossRef
  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
    CrossRef
  13. Kaas‐Hansen BS, Placido D, Rodríguez CL, Thorsen‐Meyer H, Gentile S, Nielsen AP, Brunak S, Jürgens G, Andersen SE. Language‐agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records. Basic & Clinical Pharmacology & Toxicology 2022;131(4):282
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef