Published on in Vol 2, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35446, first published .
Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study

Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study

Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study

Qing Xu   1, 2 , MAS ;   Matthew C Nali   1, 2, 3 , BA ;   Tiana McMann   1, 2, 3 , MA ;   Hector Godinez   1 , MA ;   Jiawei Li   1, 2 , MS ;   Yifan He   1 , MS ;   Mingxiang Cai   1, 2 , MS ;   Christine Lee   4 , PharmD, PhD ;   Christine Merenda   4 , MPH, RN ;   Richardae Araojo   4 , PharmD, MS ;   Tim Ken Mackey   1, 2, 3 , MAS, PhD

1 S-3 Research, San Diego, CA, United States

2 Global Health Policy and Data Institute, San Diego, CA, United States

3 Global Health Program, Department of Anthropology, University of California, La Jolla, CA, United States

4 Office of Minority Health and Health Equity, U.S. Food and Drug Administration, Silver Spring, MD, United States

Corresponding Author:

  • Tim Ken Mackey, MAS, PhD
  • Global Health Program, Department of Anthropology
  • University of California
  • 9500 Gilman Drive, MC:0505
  • La Jolla, CA, 92093
  • United States
  • Phone: 1 951 491 4161
  • Email: tmackey@ucsd.edu