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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Bibliografske podrobnosti
izdano v: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
Jezik:Inglês
Izdano: Oxford University Press 2019
Teme:
Major Articles and Commentaries
Online dostop: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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