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

Edith Phalane (ORCID: https://orcid.org/0000-0001-6128-2337)
Nancy Phaswana‐Mafuya (ORCID: https://orcid.org/0000-0001-9387-0432)
Yegnanew A. Shiferaw (ORCID: https://orcid.org/0000-0002-2422-4768)
Musa Jaiteh (ORCID: https://orcid.org/0000-0001-6920-9919)

Institutions

South African Medical Research Council (ZA)
University of Johannesburg (ZA)

Publication Details

Journal: JMIR Research Protocols
Published: 2025-01-27
DOI: https://doi.org/10.2196/59916
Citations: 6
Primary Topic: HIV/AIDS Research and Interventions
Type: article
Field-Weighted Citation Impact: 8.38

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article

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

Edith Phalane, Nancy Phaswana‐Mafuya, Yegnanew A. Shiferaw, Musa Jaiteh

Jan 27, 2025

6 citations

JMIR Research Protocols

HIV/AIDS Research and Interventions

8.38

article

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

Edith Phalane, Nancy Phaswana‐Mafuya, Yegnanew A. Shiferaw, Musa Jaiteh

January 27, 2025article en

6 citations

Abstract

No abstract available for this paper.

JMIR Research ProtocolsVol. 14

South African Medical Research Council (ZA), University of Johannesburg (ZA)

Good health and well-being

Openalex Percentile: Top 3%

HIV/AIDS Research and Interventions

8.38

DOI Open Access PDF OpenAlex

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