A Study on Test Variable Selection and Balanced Data for Cervical Cancer 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 | 09-2018 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 08-09-2018 |
| Cilt / Sayı / Sayfa | 10 / 5 / 1–7 | DOI | 10.5815/ijieeb.2018.05.01 |
| Makale Linki | http://www.mecs-press.org/ijieeb/ijieeb-v10-n5/v10n5-1.html | ||
| UAK Araştırma Alanları |
Görüntü İşleme
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| Özet |
| Cancer is a pestilent disease. One of the most important cancer kinds, cervical cancer is a malignant tumor which threats women's life. In this study, the importance of test variables for cervical cancer disease is investigated by utilizing Stability Selection method. Also, Random Under-Sampling and Random Over-Sampling methods are implemented on the dataset. In this context, the learning model is designed by using Random Forest algorithm. The experimental results show that Stability Selection, Random Over-Sampling and Random Forest based model are more successful, approximately 98% accuracy. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 8 |