scholarly journals Type 2 diabetes mellitus prediction model based on data mining

2018 ◽  
Vol 10 ◽  
pp. 100-107 ◽  
Author(s):  
Han Wu ◽  
Shengqi Yang ◽  
Zhangqin Huang ◽  
Jian He ◽  
Xiaoyi Wang
2021 ◽  
Vol 24 ◽  
pp. 157-166
Author(s):  
Wilailuck Tuntayothin ◽  
Stephen John Kerr ◽  
Chanchana Boonyakrai ◽  
Suwasin Udomkarnjananun ◽  
Sumitra Chukaew ◽  
...  

2021 ◽  
Vol 8 (4) ◽  
pp. 638-645
Author(s):  
W. Boutayeb ◽  
◽  
M. Badaoui ◽  
H. Al Ali ◽  
A. Boutayeb ◽  
...  

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.


Author(s):  
Muhammad Younus ◽  
Md Tahsir Ahmed Munna ◽  
Mirza Mohtashim Alam ◽  
Shaikh Muhammad Allayear ◽  
Sheikh Joly Ferdous Ara

2019 ◽  
Vol 43 (3) ◽  
pp. 275-283 ◽  
Author(s):  
Brent A. Williams ◽  
Daniela Geba ◽  
Jeanine M. Cordova ◽  
Sharash S. Shetty

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