Usage of Class Dependency Based Feature Selection and Fuzzy Weighted Pre-Processing Methods on Classification of Macular Disease
Yükleniyor...
Dosyalar
Tarih
2009
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pergamon-elsevier Science Ltd
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper, we propose a new feature selection method called class dependency based feature selection for dimensionality reduction of the macular disease dataset from pattern electroretinography (PERG) signals. in order to diagnosis of macular disease, we have used class dependency based feature selection as feature selection process. fuzzy weighted pre-processing as weighted process and decision tree classifier as decision making. The proposed system consists of three parts. First, we have reduced to 9 features number of features of macular disease dataset that has 63 features using class dependency based feature selection, which is first developed by ours. Second, the macular disease dataset that has 9 features is weighted by using fuzzy weighted pre-processing. And finally, decision tree classifier was applied to PERG signals to distinguish between healthy eye and diseased eye (macula diseases). The employed class dependency based feature selection, fuzzy weighted pre-processing and decision tree classifier have reached to 96.22%, 96.27% and 96.30% classification accuracies using 5-10-15-fold cross-validation, respectively. The results confirmed that the medical decision making system based on the class dependency based feature selection, fuzzy weighted pre-processing and decision tree classifier has potential in detecting the macular disease. The stated results show that the proposed method could point out the ability of design of a new intelligent assistance diagnosis system.
Açıklama
Anahtar Kelimeler
Macular disease, Pattern electroretinography, Class dependency based feature selection, Fuzzy weighted pre-processing, Decision tree classifier
Kaynak
Expert Systems With Applications
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
36
Sayı
2
Künye
Güneş, S., Güven, A., Kara, S., Polat, K., (2009). Usage of Class Dependency Based Feature Selection and Fuzzy Weighted Pre-Processing Methods on Classification of Macular Disease. Expert Systems With Applications, 36(2), 2584-2591. Doi: 10.1016/j.eswa.2008.02.035
