Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22042, first published .
Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment: Development and Validation Study

Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment: Development and Validation Study

Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment: Development and Validation Study

Anaelia Ovalle   1 , BSc ;   Orpaz Goldstein   1 , MSc ;   Mohammad Kachuee   1 , MSc ;   Elizabeth S C Wu   2 , MPH ;   Chenglin Hong   2 , BSW, MSW, MPH ;   Ian W Holloway   2 , LCSW, MPH, PhD ;   Majid Sarrafzadeh   1 , PhD

1 Department of Computer Science, University of California Los Angeles, Los Angeles, CA, United States

2 Department of Social Welfare, University of California Los Angeles, Los Angeles, CA, United States

Corresponding Author:

  • Anaelia Ovalle, BSc
  • Department of Computer Science
  • University of California Los Angeles
  • Engineering VI
  • 404 Westwood Plaza
  • Los Angeles, CA, 90095
  • United States
  • Phone: 1 3108253886
  • Fax: 1 3108252273
  • Email: anaelia@cs.ucla.edu