Predicting the HIV/AIDS Knowledge among the Adolescent and Young Adult Population in Peru: Application of Quasi-Binomial Logistic Regression and Machine Learning Algorithms

Inadequate knowledge is one of the principal obstacles for preventing HIV/AIDS spread. Worldwide, it is reported that adolescents and young people have a higher vulnerability of being infected. Thus, the need to understand youths’ knowledge towards HIV/AIDS becomes crucial. This study aimed to ident...

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Detalles Bibliográficos
Autores principales: Aybar-Flores, Alejandro, Talavera, Alvaro, Espinoza-Portilla, Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093875/
https://www.ncbi.nlm.nih.gov/pubmed/37047934
http://dx.doi.org/10.3390/ijerph20075318

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093875/
https://www.ncbi.nlm.nih.gov/pubmed/37047934
http://dx.doi.org/10.3390/ijerph20075318

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