The nature of statistical learning theory
The nature of statistical learning theory
Introduction to Algorithms
Fuzzy discretization of feature space for a rough set classifier
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
An empirical investigation of the impact of discretization on common data distributions
Design and application of hybrid intelligent systems
A decision support system based on support vector machines for diagnosis of the heart valve diseases
Computers in Biology and Medicine
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Identification of ischemic heart disease via machine learning analysis on magnetocardiograms
Computers in Biology and Medicine
Expert Systems with Applications: An International Journal
Bio-medical entity extraction using support vector machines
Artificial Intelligence in Medicine
Neural network predictions of significant coronary artery stenosis in men
Artificial Intelligence in Medicine
Internet traffic classification demystified: on the sources of the discriminative power
Proceedings of the 6th International COnference
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In this paper, the effect of discretization on determination of coronary artery disease using exercise stress test data by support vector machine classification method is investigated. The study dataset is obtained from cardiology department of Meram faculty of medicine including 480 patients having 23 features. Four classification models are composed. In the first model, the data is classified simply by normalizing it into [-1,1] range. In the second, third and fourth models, the data is classified by employing entropy-MDL, equal width and equal frequency discretization methods on it respectively. Support vector machine is used as the classifier for all classification models. The results show that classification performance of the model implemented by entropy-MDL discretization has the best value.