The nature of statistical learning theory
The nature of statistical learning theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Discriminant Analysis Using a Kernel Approach
Neural Computation
Detection of valvular heart disorders using wavelet packet decomposition and support vector machine
Expert Systems with Applications: An International Journal
Artificial Intelligence in Medicine
Estimating the utility value of individual credit card delinquents
Expert Systems with Applications: An International Journal
POFGEC: growing neural network of classifying potential function generators
International Journal of Knowledge Engineering and Soft Data Paradigms
A hybrid prediction model with F-score feature selection for type II Diabetes databases
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Evolving fuzzy medical diagnosis of Pima Indians diabetes and of dermatological diseases
Artificial Intelligence in Medicine
Using SVM based method for equipment fault detection in a thermal power plant
Computers in Industry
An automatic diabetes diagnosis system based on LDA-Wavelet Support Vector Machine Classifier
Expert Systems with Applications: An International Journal
Hybrid ensemble approach for classification
Applied Intelligence
A prediction model to diabetes using artificial metaplasticity
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Diagnosing diabetes using neural networks on small mobile devices
Expert Systems with Applications: An International Journal
Computer Methods and Programs in Biomedicine
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part IV
Dosage planning for type 2 diabetes mellitus patients using Indexing HDMR
Expert Systems with Applications: An International Journal
A fuzzy classification system based on Ant Colony Optimization for diabetes disease diagnosis
Expert Systems with Applications: An International Journal
Diagnosis of Several Diseases by Using Combined Kernels with Support Vector Machine
Journal of Medical Systems
Diagnosis of Arthritis Through Fuzzy Inference System
Journal of Medical Systems
Design of fuzzy classifier for diabetes disease using Modified Artificial Bee Colony algorithm
Computer Methods and Programs in Biomedicine
International Journal of Systems Biology and Biomedical Technologies
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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.