Assessing the Importance of Attributes for Diagnosis of Diabetes Disease
Yazarlar (1)
Prof. Dr. Kemal AKYOL Kastamonu Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
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| Dergi Adı | International Journal of Information Engineering and Electronic Business | ||
| Dergi ISSN | 2074-9023 Scopus Dergi | ||
| Dergi Tarandığı Indeksler | CMCI: CompuMath Citation Index | ||
| Makale Dili | İngilizce | Basım Tarihi | 09-2017 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 08-09-2017 |
| Cilt / Sayı / Sayfa | 9 / 5 / 1–9 | DOI | 10.5815/ijieeb.2017.05.01 |
| Makale Linki | http://www.mecs-press.org/ijieeb/ijieeb-v9-n5/v9n5-1.html | ||
| UAK Araştırma Alanları |
Görüntü İşleme
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| Özet |
| 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. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 4 |