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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 Model.

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Title: 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 Model.
Authors: Jaiteh M; South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2006, South Africa., Phalane E; South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2006, South Africa., Shiferaw YA; Department of Statistics, Faculty of Science, University of Johannesburg, Johannesburg 2006, South Africa., Jallow H; Department of Mathematics (Data Science Option), Pan African University Institute for Basic Sciences, Technology and Innovation, Juja P.O. Box 62000 00200, Kenya., Phaswana-Mafuya RN; South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2006, South Africa.
Source: Tropical medicine and infectious disease [Trop Med Infect Dis] 2025 Jun 14; Vol. 10 (6). Date of Electronic Publication: 2025 Jun 14.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101709042 Publication Model: Electronic Cited Medium: Internet ISSN: 2414-6366 (Electronic) Linking ISSN: 24146366 NLM ISO Abbreviation: Trop Med Infect Dis Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: 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 Model.
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  Data: <searchLink fieldCode="AU" term="%22Jaiteh+M%22">Jaiteh M</searchLink>; South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2006, South Africa.<br /><searchLink fieldCode="AU" term="%22Phalane+E%22">Phalane E</searchLink>; South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2006, South Africa.<br /><searchLink fieldCode="AU" term="%22Shiferaw+YA%22">Shiferaw YA</searchLink>; Department of Statistics, Faculty of Science, University of Johannesburg, Johannesburg 2006, South Africa.<br /><searchLink fieldCode="AU" term="%22Jallow+H%22">Jallow H</searchLink>; Department of Mathematics (Data Science Option), Pan African University Institute for Basic Sciences, Technology and Innovation, Juja P.O. Box 62000 00200, Kenya.<br /><searchLink fieldCode="AU" term="%22Phaswana-Mafuya+RN%22">Phaswana-Mafuya RN</searchLink>; South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2006, South Africa.
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  Data: <searchLink fieldCode="JN" term="%22101709042%22">Tropical medicine and infectious disease</searchLink> [Trop Med Infect Dis] 2025 Jun 14; Vol. 10 (6). <i>Date of Electronic Publication: </i>2025 Jun 14.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101709042 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2414-6366 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224146366%22">24146366 </searchLink><i>NLM ISO Abbreviation: </i>Trop Med Infect Dis <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3390/tropicalmed10060167
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              Text: 2025 Jun 14
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