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Applied Machine LearningJMIR Research Protocols2 December 2021

Utility of a Machine-Guided Tool for Assessing Risk Behaviour Associated With Contracting HIV in South Africa

Clinical research evaluating a machine learning-based HIV risk assessment tool using structured questionnaires and validation against HIV testing outcomes in South Africa.

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At a glance

Participants
200 HIV-negative adults
Study sites
Three in South Africa: two semirural, one urban
Ethics approval
University of Witwatersrand HREC, 20 August 2020
Trial registration
DOH-27-042021-679

From the abstract · Conclusions

“Machine-guided risk assessment tools can provide a cost-effective alternative to large-scale HIV screening and help in providing targeted counseling and testing to prevent the spread of HIV.”

Utility of a Machine-Guided Tool for Assessing Risk Behaviour Associated With Contracting HIV in South Africa, JMIR Research Protocols

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