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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 AnalysisMusa Jaiteh, Nancy Phaswana‐Mafuya, Edith Phalane et al.|JMIR Research Protocols|2025Cited by 6
Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024Musa Jaiteh, Nancy Phaswana‐Mafuya, Edith Phalane et al.|Interactive Journal of Medical Research|2025Cited by 5
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 ModelMusa Jaiteh, Nancy Phaswana‐Mafuya, Edith Phalane et al.|Tropical Medicine and Infectious Disease|2025Cited by 4
Harnessing Big Heterogeneous Data to Evaluate the Potential Impact of HIV Responses Among Key Populations in Sub-Saharan Africa: Protocol for the Boloka Data Repository InitiativeNancy Phaswana‐Mafuya, Stefan Baral, Kalai Willis et al.|JMIR Research Protocols|2024Cited by 3