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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב: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
פורמט: Artigo
שפה:Inglês
יצא לאור: Oxford University Press 2019
נושאים:
Major Articles and Commentaries
גישה מקוונת: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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