The status of machine learning in HIV testing in South Africa: a qualitative inquiry with stakeholders in Gauteng province by Musa Jaiteh, Edith Phalane, Yegnanew A. Shiferaw, Refilwe Nancy Phaswana-Mafuya

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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 Analysis... by Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Refilwe Nancy Phaswana-Mafuya

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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 Mode... by Musa Jaiteh, Edith Phalane, Yegnanew A. Shiferaw, Haruna Jallow, Refilwe Nancy Phaswana-Mafuya

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Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024 by Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Lateef Babatunde Amusa, Hossana Twinomurinzi, Refilwe Nancy Phaswana-Mafuya

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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 Initiative by Refilwe Nancy Phaswana Mafuya, Edith Phalane, Amrita Rao, Kalai Willis, Katherine Rucinski, K Alida Voet, Amal Abdulrahman, Claris Siyamayambo, Betty Sebati, Mohlago Seloka, Musa Jaiteh, Lerato Lucia Olifant, Katharine Journeay, Haley Sisel, Xiaoming Li, Bankole Olatosi, Neset Hikmet, Prashant Duhoon, Francois Wolmarans, Yegnanew A Shiferaw, Lifutso Motsieloa, Mashudu Rampilo, Stefan Baral

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