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

Public (e)Health, Digital Epidemiology and Public Health Informatics (743) Machine Learning (1488) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1660) LGBTQ Issues (451) Substance Abuse (427) HIV/AIDS/STI Prevention and Care (879) Infodemiology and Infoveillance (1364) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1049)

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
Article Authors Cited by (17) Tweetations (10) Metrics

Journals

  1. Imura T, Toda H, Iwamoto Y, Inagawa T, Imada N, Tanaka R, Inoue Y, Araki H, Araki O. Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis. Journal of Stroke and Cerebrovascular Diseases 2021;30(10):106011 View
  2. Hong C. Characterizing the Impact of the COVID-19 Pandemic on HIV PrEP care: A Review and Synthesis of the Literature. AIDS and Behavior 2023;27(7):2089 View
  3. Tami S. Perceived Effects of Socio-Economics and Social Media Variables on Body Mass Index in Saudi Young Adults. Cureus 2022 View
  4. Phelan C, Heyer J, Pfafman R, Kerrigan C, Tzilos Wernette G, Dombrowski L, Miller A, Pater J. The Work of Digital Social Re-entry in Substance Use Disorder Recovery. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  5. Guttha N, Miao Z, Shamsuddin R. Towards the Development of a Substance Abuse Index (SEI) through Informatics. Healthcare 2021;9(11):1596 View
  6. Hong C, Abrams L, Holloway I. Technology-Based Interventions to Promote the HIV Preexposure Prophylaxis (PrEP) Care Continuum: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(3):e33045 View
  7. Lomotey R, Kumi S, Hilton M, Orji R, Deters R. Using Machine Learning to Establish the Concerns of Persons With HIV/AIDS During the COVID-19 Pandemic From Their Tweets. IEEE Access 2023;11:37570 View
  8. Cascalheira C, Flinn R, Zhao Y, Klooster D, Laprade D, Hamdi S, Scheer J, Gonzalez A, Lund E, Gomez I, Saha K, De Choudhury M. Models of Gender Dysphoria Using Social Media Data for Use in Technology-Delivered Interventions: Machine Learning and Natural Language Processing Validation Study. JMIR Formative Research 2023;7:e47256 View
  9. Cascalheira C, Hong C, Beltran R, Karkkainen K, Beikzadeh M, Sarrafzadeh M, Holloway I. Analysis of Smartphone Text Data Related to mpox from a U.S. Sample of Gay, Bisexual, and Other Men Who Have Sex with Men During the 2022 Outbreak. LGBT Health 2023;10(7):560 View
  10. Hong C. Mpox on Reddit: a Thematic Analysis of Online Posts on Mpox on a Social Media Platform among Key Populations. Journal of Urban Health 2023;100(6):1264 View
  11. Ibrahim K, Kahle E, Christiani Y, Suryani S. Utilization of Social Media for the Prevention and Control of HIV/AIDS: A Scoping Review. Journal of Multidisciplinary Healthcare 2024;Volume 17:2443 View
  12. Shimu S, Patil S, Dadzie E, Tesfaye T, Alag P, Więckiewicz G. Exploring Health Informatics in the Battle against Drug Addiction: Digital Solutions for the Rising Concern. Journal of Personalized Medicine 2024;14(6):556 View
  13. Holloway I, Wu E, Boka C, Young N, Hong C, Fuentes K, Kärkkäinen K, Beikzadeh M, Avendaño A, Jauregui J, Zhang A, Sevillano L, Fyfe C, Brisbin C, Beltran R, Cordero L, Parsons J, Sarrafzadeh M. Novel Machine Learning HIV Intervention for Sexual and Gender Minority Young People Who Have Sex With Men (uTECH): Protocol for a Randomized Comparison Trial. JMIR Research Protocols 2024;13:e58448 View
  14. Jaiteh M, Phalane E, Shiferaw Y, Voet K, Phaswana-Mafuya R. Utilization of Machine Learning Algorithms for the Strengthening of HIV Testing: A Systematic Review. Algorithms 2024;17(8):362 View
  15. Deng T, Urbaczewski A, Lee Y, Barman-Adhikari A, Dewri R. Identifying Marijuana Use Behaviors Among Youth Experiencing Homelessness Using a Machine Learning–Based Framework: Development and Evaluation Study. JMIR AI 2024;3:e53488 View
  16. Cascalheira C, Corro K, Hong C, Rohleen T, Trac O, Beikzadeh M, Scheer J, Hamdi S, Boubrahimi S, Holloway I. An Analysis of Mpox Communication on Reddit vs Twitter During the 2022 Mpox Outbreak. Sexuality Research and Social Policy 2024 View

Books/Policy Documents

  1. Mbunge E, Batani J, Chitungo I, Moyo E, Musuka G, Muchemwa B, Dzinamarira T. Data Analytics in System Engineering. View