Name
Title | ||
|---|---|---|
A cascade learning system for classification of diabetes disease: Generalized Discriminant Analysis and Least Square Support Vector Machine |
Abstract | ||
|---|---|---|
The aim of this study is to diagnosis of diabetes disease, which is one of the most important diseases in medical field using Generalized Discriminant Analysis (GDA) and Least Square Support Vector Machine (LS-SVM). Also, we proposed a new cascade learning system based on Generalized Discriminant Analysis and Least Square Support Vector Machine. The proposed system consists of two stages. The first stage, we have used Generalized Discriminant Analysis to discriminant feature variables between healthy and patient (diabetes) data as pre-processing process. The second stage, we have used LS-SVM in order to classification of diabetes dataset. While LS-SVM obtained 78.21% classification accuracy using 10-fold cross validation, the proposed system called GDA-LS-SVM obtained 82.05% classification accuracy using 10-fold cross validation. The robustness of the proposed system is examined using classification accuracy, k-fold cross-validation method and confusion matrix. The obtained classification accuracy is 82.05% and it is very promising compared to the previously reported classification techniques. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.eswa.2006.09.012 | Expert Syst. Appl. |
Keywords | Field | DocType |
confusion matrix,generalized discriminant analysis,classification accuracy,10-fold cross validation,least square support vector machine,pima indians diabetes dataset,diabetes disease,square support,proposed system,expert systems,vector machine,classification technique,diabetes dataset,expert system,cross validation,least squares support vector machine | Structured support vector machine,Data mining,Confusion matrix,Computer science,Multiple discriminant analysis,Artificial intelligence,Optimal discriminant analysis,Pattern recognition,Support vector machine,Kernel Fisher discriminant analysis,Relevance vector machine,Cross-validation,Machine learning | Journal |
Volume | Issue | ISSN |
34 | 1 | Expert Systems With Applications |
Citations | PageRank | References |
64 | 2.53 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kemal Polat | 1 | 1348 | 97.38 |
| Salih Güneş | 2 | 1267 | 78.53 |
| Ahmet Arslan | 3 | 130 | 6.27 |