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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Bibliografiske detaljer
Udgivet i: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
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2019
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Major Articles and Commentaries
Online adgang: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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