International Journal of Information Engineering and Electronic Business (IJIEEB)
IJIEEB Vol. 9, No. 5, 8 Sep. 2017
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Assessing the Importance of Attributes for Diagnosis of Diabetes Disease
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Author(s)
Kemal Akyol
1,*
Index Terms
Classification, diabetes diagnosis, stability selection
Abstract
Diabetes is a chronic, metabolic disease related to the rise of levels of blood glucose. According to the current data from the World Health Organization, 422 million adults have diabetes in the world and prevalence of diabetes is 13.2%. Disregarding the diagnosis and treatment of the disease leads to some major problems on kidneys, heart and blood vessels, eyes, nerves, pregnancy and wound healing. The most common type of diabetes and usually in adults, Type 2 diabetes occurs when the body becomes resistant to insulin or does not make enough insulin. The main objective of this study is to make more successful this disease by investigating the important attributes based on assessing the importance of attributes using the Stability Selection method. The proposed method might be a powerful tool for the importance of attributes, and effective diagnosis of this disease with the classification accuracy is 78.57% and ROC value is 0.75.
Cite This Paper
Kemal Akyol, "Assessing the Importance of Attributes for Diagnosis of Diabetes Disease", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.9, No.5, pp.1-9, 2017. DOI:10.5815/ijieeb.2017.05.01
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