The Application of Machine Learning Algorithms to Predict HIV Testing Using Evidence from the 2002–2017 South African Adult Population-Based Surveys: An HIV Testing Predictive Model

The Application of Machine Learning Algorithms to Predict HIV Testing Using Evidence from the 2002–2017 South African Adult Population-Based Surveys: An HIV Testing Predictive Model

There is a significant portion of the South African population with unknown HIV status, which slows down epidemic control despite the progress made in HIV testing. Machine learning (ML) has been effective in identifying individuals at higher risk of HIV infection, for whom testing is strongly recomm...

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Bibliographic Details
Main Authors: Musa Jaiteh, Edith Phalane, Yegnanew A. Shiferaw, Haruna Jallow, Refilwe Nancy Phaswana-Mafuya
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Tropical Medicine and Infectious Disease
Subjects:
HIV
AIDS
HIV testing
machine learning
predictive model
predictors
Online Access:https://www.mdpi.com/2414-6366/10/6/167
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