Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/25861
Title: | Machine learning methods for diabetes prevalence classification in Saudi Arabia |
Authors: | Almutairi, E Abbod, M |
Keywords: | machine learning;diabetes;classification |
Issue Date: | 2023 |
Publisher: | MDPI AG |
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. |
Abstract: | Copyright: © 2022 by the authors. |
Description: | Data Availability Statement: Data presented in the paper are available on request from 649 the corresponding author M.F.A. |
URI: | https://bura.brunel.ac.uk/handle/2438/25861 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Embargoed Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | Embargoed until publication | 742.56 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.