Studying patterns and predictors of HIV viral suppression using A Big Data approach: a research protocol

BACKGROUND: Given the importance of viral suppression in ending the HIV epidemic in the US and elsewhere, an optimal predictive model of viral status can help clinicians identify those at risk of poor viral control and inform clinical improvements in HIV treatment and care. With an increasing availa...

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Detalles Bibliográficos
Autores principales: Zhang, Jiajia, Olatosi, Bankole, Yang, Xueying, Weissman, Sharon, Li, Zhenlong, Hu, Jianjun, Li, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Study Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817473/
https://www.ncbi.nlm.nih.gov/pubmed/35120435
http://dx.doi.org/10.1186/s12879-022-07047-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817473/
https://www.ncbi.nlm.nih.gov/pubmed/35120435
http://dx.doi.org/10.1186/s12879-022-07047-5

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