Applying machine learning and predictive modeling to retention and viral suppression in South African HIV treatment cohorts

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dc.citation.doi10.1038/S41598-022-16062-0
dc.citation.epage10
dc.citation.spage1
dc.contributor.authorMhairi Maskew
dc.contributor.authorK Sharpey-Schafer
dc.contributor.authorL De Voux
dc.contributor.authorT Crompton
dc.contributor.authorJacob Bor
dc.contributor.authorM Rennick
dc.contributor.authorE et al
dc.contributor.authorJacqueline Miot
dc.contributor.authorIan Sanne
dc.date.accessioned2023-10-09T08:12:44Z
dc.date.available2023-10-09T08:12:44Z
dc.identifier.citationWOS
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/10539/36514
dc.journal.titleSCIENTIFIC REPORTS
dc.journal.volume12
dc.titleApplying machine learning and predictive modeling to retention and viral suppression in South African HIV treatment cohorts
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