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

Cancer Epidemiology, Cancer Surveillance and Infodemiology (93) Infodemiology and Infoveillance (1459) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1791) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1088) Social Media in Aging (30)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48786, first published .
Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data

Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data

Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data

Authors of this article:

Sununtha Meksawasdichai1 Author Orcid Image ;   Tassanee Lerksuthirat2 Author Orcid Image ;   Boonsong Ongphiphadhanakul1 Author Orcid Image ;   Chutintorn Sriphrapradang1 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Journals

  1. Siddiqui Z, Pathan M, Nduaguba S, LeMasters T, Scott V, Sambamoorthi U, Patel J, Bitterman D. Leveraging social media data to study disease and treatment characteristics of Hodgkin’s lymphoma Using Natural Language Processing methods. PLOS Digital Health 2025;4(3):e0000765 View
  2. Banyi N, Ma B, Amanian A, Bur A, Abdalkhani A. Applications of Natural Language Processing in Otolaryngology: A Scoping Review. The Laryngoscope 2025 View