Toward Using Twitter for PrEP-Related Interventions: An Automated Natural Language Processing Pipeline for Identifying Gay or Bisexual Men in the United States

BACKGROUND: Pre-exposure prophylaxis (PrEP) is highly effective at preventing the acquisition of HIV. There is a substantial gap, however, between the number of people in the United States who have indications for PrEP and the number of them who are prescribed PrEP. Although Twitter content has been...

Descripción completa

Detalles Bibliográficos
Autores principales: Klein, Ari Z, Meanley, Steven, O'Connor, Karen, Bauermeister, José A, Gonzalez-Hernandez, Graciela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086871/
https://www.ncbi.nlm.nih.gov/pubmed/35468092
http://dx.doi.org/10.2196/32405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086871/
https://www.ncbi.nlm.nih.gov/pubmed/35468092
http://dx.doi.org/10.2196/32405

Ejemplares similares