An intelligent diagnosis system for diabetes on Linear Discriminant Analysis and Adaptive Network Based Fuzzy Inference System: LDA-ANFIS

Authors:
Esin Dogantekin;Akif Dogantekin;Derya Avci;Levent Avci
Affiliations:
Firat University, Firat Medicine Center, Department of Microbiology and Clinical Microbiology, 23119 Elazig, Turkey;Firat University, Firat Medicine Center, Department of Internal Diseases, 23119 Elazig, Turkey;Bahcelievler Primary Education School, Elazig, Turkey;Elazig Education and Research Hospital, Elazig, Turkey
Venue:
Digital Signal Processing
Year:
2010

Citing 11
Cited 1

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks for pattern recognition

Neural networks for pattern recognition
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Network Classifiers

Machine Learning - Special issue on learning with probabilistic representations
Fast Linear Discriminant Analysis Using Binary Bases

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
A decision support system based on support vector machines for diagnosis of the heart valve diseases

Computers in Biology and Medicine
A cascade learning system for classification of diabetes disease: Generalized Discriminant Analysis and Least Square Support Vector Machine

Expert Systems with Applications: An International Journal
Principles component analysis, fuzzy weighting pre-processing and artificial immune recognition system based diagnostic system for diagnosis of lung cancer

Expert Systems with Applications: An International Journal
An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease

Digital Signal Processing
A novel approach for digital radio signal classification: Wavelet packet energy-multiclass support vector machine (WPE-MSVM)

Expert Systems with Applications: An International Journal
Intelligent target recognition based on wavelet adaptive network based fuzzy inference system

IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I

A fast and adaptive automated disease diagnosis method with an innovative neural network model

Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this study, an intelligent diagnosis system for diabetes on Linear Discriminant Analysis (LDA) and Adaptive Network Based Fuzzy Inference System (ANFIS): LDA-ANFIS is presented. The structure of this LDA-ANFIS intelligent system for diagnosis of diabetes is composed by two phases: The Linear Discriminant Analysis (LDA) phase and classificiation by using ANFIS classifier phase. In first phase, Linear Discriminant Analysis (LDA) is used to separate features variables between healthy and patient (diabetes) data. In second phase, the healthy and patient (diabetes) features obtained in first phase are given to inputs of ANFIS classifier. The correct diagnosis performance of the LDA-ANFIS intelligent system is calculated by using sensitivity and specificity analysis, classification accuracy and confusion matrix respectively. The classification accuracy of this LDA-ANFIS intelligent system was obtained about 84.61%.