Knowledge discovery in electrocardiographic data based on neural clustering algorithms

Abstract

This study describes a knowledge discovery experiment in the area of coronary heart disease risk (CHD) assessment. Adaptive resonance theory networks serve as basis for performing clustering on a data base which is composed of heart rate variability measurements (HRV) from individuals at varying risk of CHD. The HRV measurements are represented on Poincar… (More)

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