The nature of statistical learning theory
The nature of statistical learning theory
Classification of Faces in Man and Machine
Neural Computation
Semi-Supervised Clustering Models for Clinical Risk Assessment
BIBE '06 Proceedings of the Sixth IEEE Symposium on BionInformatics and BioEngineering
BIBE '06 Proceedings of the Sixth IEEE Symposium on BionInformatics and BioEngineering
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A method of using statistical analysis on site-sampled sphygmogram data sets and support vector machines classifier to diagnose coronary heart disease is proposed. The hemodynamic parameters derived from sphygmogram reflect the status of human cardiovascular system. Based on homodynamic parameters, the dimension reduction methods and a modified support vector machines classifier are applied to meliorate prognosis sensitivity and specificity. The test results on clinical coronary heart disease patients show that this method has obvious advantages over existing classifier method in the captioned application