Machine learning methods for diabetes prevalence classification in Saudi Arabia

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25861

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DC Field	Value	Language
dc.contributor.author	Almutairi, E	-
dc.contributor.author	Abbod, M	-
dc.date.accessioned	2023-01-23T18:28:24Z	-
dc.date.available	2023-01-23T18:28:24Z	-
dc.date.issued	2023	-
dc.identifier.citation	Almutairi. 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.uri	https://bura.brunel.ac.uk/handle/2438/25861	-
dc.description	Data Availability Statement: Data presented in the paper are available on request from 649 the corresponding author M.F.A.	en_US
dc.description.abstract	Copyright: © 2022 by the authors.	en_US
dc.description.sponsorship	Unknown	en_US
dc.format.extent	1 - 20	-
dc.format.medium	Electronic	-
dc.language.iso	en_US	en_US
dc.publisher	MDPI AG	en_US
dc.rights	Copyright: © 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.subject	machine learning	en_US
dc.subject	diabetes	en_US
dc.subject	classification	en_US
dc.title	Machine learning methods for diabetes prevalence classification in Saudi Arabia	en_US
dc.type	Article	en_US
dc.relation.isPartOf	Modelling	-
pubs.publication-status	Accepted	-
pubs.volume	0	-
dc.rights.holder	The authors	-
Appears in Collections:	Dept of Electronic and Electrical Engineering Embargoed Research Papers

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