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  4. Use of Data Mining in the prediction of risk factors of Type 2 diabetes mellitus in Gulf countries

Use of Data Mining in the prediction of risk factors of Type 2 diabetes mellitus in Gulf countries

MMC.
2021;
Volume 8, Number 4
: pp. 638–645
https://doi.org/10.23939/mmc2021.04.638
Received: May 23, 2021
Accepted: June 07, 2021

Mathematical Modeling and Computing, Vol. 8, No. 4, pp. 638–645 (2021)

Authors:
  1. W. Boutayeb
  2. M. Badaoui
  3. H. Al Ali
  4. A. Boutayeb
  5. M. Lamlili
1
University Mohammed First, Faculty of Sciences, Oujda, Morocco
2
University Mohammed First, Highest School of Technologies, Oujda, Morocco
3
Emirates Aviation University, Dubai, United Arab Emirates
4
University Mohammed First, Faculty of Sciences, Oujda, Morocco
5
University Mohammed First, Faculty of Sciences, Oujda, Morocco

Prevalence of diabetes in Gulf countries is knowing a significant increase because of various risk factors, such as: obesity, unhealthy diet, physical inactivity and smoking.  The aim of our proposed study is to use Data Mining and Data Analysis tools in order to determine different risk factors of the development of Type 2 diabetes mellitus (T2DM) in Gulf countries, from Gulf COAST dataset.

Gulf COAST dataset
data mining
decision tree
Principal Component Analysis
Type 2 Diabetes
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