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

Public (e)Health, Digital Epidemiology and Public Health Informatics (636) Machine Learning (1370) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) LGBTQ Issues (414) Substance Abuse (379) HIV/AIDS/STI Prevention and Care (816) Infodemiology and Infoveillance (1269) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010)

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

Authors of this article:

Anaelia Ovalle1 Author Orcid Image ;   Orpaz Goldstein1 Author Orcid Image ;   Mohammad Kachuee1 Author Orcid Image ;   Elizabeth S C Wu2 Author Orcid Image ;   Chenglin Hong2 Author Orcid Image ;   Ian W Holloway2 Author Orcid Image ;   Majid Sarrafzadeh1 Author Orcid Image
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