Leveraging data science and machine learning for urban climate adaptation in two major African cities a HE2AT Center study protocol

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dc.article.end-page9en
dc.article.start-page1en
dc.citation.doi10.1136/BMJOPEN-2023-077529en
dc.contributor.authorChristopher Jacken
dc.contributor.authorCraig Parkeren
dc.contributor.authorYao Kouakouen
dc.contributor.authorBonnie Jouberten
dc.contributor.authorGloria Maimelaen
dc.contributor.authorMatthew Chersichen
dc.contributor.authorDarshnika Lakhooen
dc.contributor.authorNIcholas Brinken
dc.contributor.authorE et alen
dc.date.accessioned2024-12-18T11:38:08Z
dc.date.available2024-12-18T11:38:08Z
dc.departmentWITS REPRODUCTIVE HEALTH AND HIV INSTITUTEen
dc.facultyFACULTY OF HEALTH SCIENCESen
dc.identifier.citationWOSen
dc.identifier.issn2044-6055en
dc.identifier.urihttps://hdl.handle.net/10539/43383
dc.journal.titleLeveraging data science and machine learning for urban climate adaptation in two major African cities a HE2AT Center study protocolen
dc.journal.volume14en
dc.publisherBMJ PUBLISHING GROUPen
dc.titleLeveraging data science and machine learning for urban climate adaptation in two major African cities a HE2AT Center study protocolen
dc.typeJournal Articleen
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