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

Cancer and Clinical Trials (41) Mass Media/Social Media Communication and Campaigns (574) Innovations in Clinical Trials and Research Data Management (124) Recruitment of Research Participants (377) Natural Language Processing (917)

Published on in Vol 7, No 3 (2021): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25621, first published .
Analysis of Population Differences in Digital Conversations About Cancer Clinical Trials: Advanced Data Mining and Extraction Study

Analysis of Population Differences in Digital Conversations About Cancer Clinical Trials: Advanced Data Mining and Extraction Study

Analysis of Population Differences in Digital Conversations About Cancer Clinical Trials: Advanced Data Mining and Extraction Study

Authors of this article:

Edith A Perez1 Author Orcid Image ;   Elizabeth M Jaffee2 Author Orcid Image ;   John Whyte3 Author Orcid Image ;   Cheryl A Boyce4 ;   John D Carpten5 Author Orcid Image ;   Guillermina Lozano6 Author Orcid Image ;   Raymond M Williams7 Author Orcid Image ;   Karen M Winkfield8 Author Orcid Image ;   David Bernstein9 Author Orcid Image ;   Sung Poblete9 Author Orcid Image
Article Authors Cited by (2) Tweetations (7) Metrics

Journals

  1. Williams C, Geiger A, Norton W, de Moor J, Everson N. Influence of Cost-Related Considerations on Clinical Trial Participation: Results from the 2020 Health Information National Trends Survey (HINTS). Journal of General Internal Medicine 2023;38(5):1200 View
  2. Sexton Topper P, Choi S, Hall-Grix A, Fernandez E, Marshall J, Aiello E. Healthcare navigation services support access to gender-affirming care: A qualitative analysis of chat conversations. PLOS One 2025;20(10):e0333168 View