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, US

2 Global Health Policy and Data Institute , San Diego, CA, US

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

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

Corresponding Author:

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