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

BACKGROUND: Among racial and ethnic minority groups, the risk of HIV infection is an ongoing public health challenge. Pre-exposure prophylaxis (PrEP) is highly effective for preventing HIV when taken as prescribed. However, there is a need to understand the experiences, attitudes, and barriers of Pr...

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Detalles Bibliográficos
Autores principales: Xu, Qing, Nali, Matthew C, McMann, Tiana, Godinez, Hector, Li, Jiawei, He, Yifan, Cai, Mingxiang, Lee, Christine, Merenda, Christine, Araojo, Richardae, Mackey, Tim Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014091/
https://www.ncbi.nlm.nih.gov/pubmed/37113799
http://dx.doi.org/10.2196/35446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014091/
https://www.ncbi.nlm.nih.gov/pubmed/37113799
http://dx.doi.org/10.2196/35446

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