This paper is in the following e-collection/theme issue:

Proposals (eHealth) (86) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (717) HIV/AIDS/STI Prevention and Care (1043) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Machine Learning (2072)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59916, first published .
The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis

The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis

The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis

Authors of this article:

Musa Jaiteh1 Author Orcid Image ;   Edith Phalane1 Author Orcid Image ;   Yegnanew A Shiferaw2 Author Orcid Image ;   Refilwe Nancy Phaswana-Mafuya1 Author Orcid Image
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