Machine Learning to Identify Persons at High-Risk of Human Immunodeficiency Virus Acquisition in Rural Kenya and Uganda

BACKGROUND: In generalized epidemic settings, strategies are needed to prioritize individuals at higher risk of human immunodeficiency virus (HIV) acquisition for prevention services. We used population-level HIV testing data from rural Kenya and Uganda to construct HIV risk scores and assessed thei...

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Detalhes bibliográficos
Publicado no:Clin Infect Dis
Main Authors: Balzer, Laura B, Havlir, Diane V, Kamya, Moses R, Chamie, Gabriel, Charlebois, Edwin D, Clark, Tamara D, Koss, Catherine A, Kwarisiima, Dalsone, Ayieko, James, Sang, Norton, Kabami, Jane, Atukunda, Mucunguzi, Jain, Vivek, Camlin, Carol S, Cohen, Craig R, Bukusi, Elizabeth A, Van Der Laan, Mark, Petersen, Maya L
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
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Major Articles and Commentaries
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7904068/
https://ncbi.nlm.nih.gov/pubmed/31697383
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/cid/ciz1096
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