Using of Data Mining methods to evaluate the myocardial damage in children with juvenile idiopathic arthritis

This study is aimed to assess validity the system of comprehensive ECG scoring, using Data Mining. The regression and classification models of complex index of functional state were developed. Cluster analysis and decision trees algorithms (CART) were used for identification subgroup of patients. Predictive indices for diagnosis of the functional state of the cardiovascular system of children with juvenile idiopathic arthritis were selected.