Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25861
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dc.contributor.authorAlmutairi, E-
dc.contributor.authorAbbod, M-
dc.date.accessioned2023-01-23T18:28:24Z-
dc.date.available2023-01-23T18:28:24Z-
dc.date.issued2023-
dc.identifier.citationAlmutairi. E. and Abbod, M. (2023) 'Machine learning methods for diabetes prevalence classification in Saudi Arabia', Modelling, 0 (accepted, in press), pp. 1 - 20.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/25861-
dc.descriptionData Availability Statement: Data presented in the paper are available on request from 649 the corresponding author M.F.A.en_US
dc.description.abstractCopyright: © 2022 by the authors.en_US
dc.description.sponsorshipUnknownen_US
dc.format.extent1 - 20-
dc.format.mediumElectronic-
dc.language.isoen_USen_US
dc.publisherMDPI AGen_US
dc.rightsCopyright: © 2022 by the authors. Submitted for possible open access publication under the terms and con-ditions of the Creative Commons At-tribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).-
dc.subjectmachine learningen_US
dc.subjectdiabetesen_US
dc.subjectclassificationen_US
dc.titleMachine learning methods for diabetes prevalence classification in Saudi Arabiaen_US
dc.typeArticleen_US
dc.relation.isPartOfModelling-
pubs.publication-statusAccepted-
pubs.volume0-
dc.rights.holderThe authors-
Appears in Collections:Dept of Electronic and Electrical Engineering Embargoed Research Papers

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