Neural Networks
Fractal dimension estimation for texture images: a parallel approach
Pattern Recognition Letters
Industrial Applications of Fuzzy Control
Industrial Applications of Fuzzy Control
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discovering Knowledge in Data: An Introduction to Data Mining
Discovering Knowledge in Data: An Introduction to Data Mining
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Assessment of the classification capability of prediction and approximation methods for HRV analysis
Computers in Biology and Medicine
Computers in Biology and Medicine
BMEI '08 Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01
Nonlinear dynamics analysis of electrocardiograms for detection of coronary artery disease
Computer Methods and Programs in Biomedicine
ETTANDGRS '08 Proceedings of the 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing - Volume 02
Handbook of Texture Analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Mining biosignal data: coronary artery disease diagnosis using linear and nonlinear features of HRV
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling
IEEE Transactions on Information Technology in Biomedicine
A heart disease recognition embedded system with fuzzy cluster algorithm
Computer Methods and Programs in Biomedicine
Automatic classification of the interferential tear film lipid layer using colour texture analysis
Computer Methods and Programs in Biomedicine
Fuzzy and hard clustering analysis for thyroid disease
Computer Methods and Programs in Biomedicine
An application of fractional differintegration to heart rate variability time series
Computer Methods and Programs in Biomedicine
A data mining approach for diagnosis of coronary artery disease
Computer Methods and Programs in Biomedicine
A new hybrid intelligent system for accurate detection of Parkinson's disease
Computer Methods and Programs in Biomedicine
Preparation of 2D sequences of corneal images for 3D model building
Computer Methods and Programs in Biomedicine
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Coronary Artery Disease (CAD), caused by the buildup of plaque on the inside of the coronary arteries, has a high mortality rate. To efficiently detect this condition from echocardiography images, with lesser inter-observer variability and visual interpretation errors, computer based data mining techniques may be exploited. We have developed and presented one such technique in this paper for the classification of normal and CAD affected cases. A multitude of grayscale features (fractal dimension, entropies based on the higher order spectra, features based on image texture and local binary patterns, and wavelet based features) were extracted from echocardiography images belonging to a huge database of 400 normal cases and 400 CAD patients. Only the features that had good discriminating capability were selected using t-test. Several combinations of the resultant significant features were used to evaluate many supervised classifiers to find the combination that presents a good accuracy. We observed that the Gaussian Mixture Model (GMM) classifier trained with a feature subset made up of nine significant features presented the highest accuracy, sensitivity, specificity, and positive predictive value of 100%. We have also developed a novel, highly discriminative HeartIndex, which is a single number that is calculated from the combination of the features, in order to objectively classify the images from either of the two classes. Such an index allows for an easier implementation of the technique for automated CAD detection in the computers in hospitals and clinics.