Cardiovascular diseases are a major public health problem and are expected to continue to be in the future due mainly to population aging; In Spain, represent the leading cause of death and hospitalization. The three most important cardiovascular problems, ischemic heart disease, cerebrovascular disease and heart failure are based on the large epidemiological studies.This paper proposes Genetically optimized Neural Network technique for heart disease prediction. Performance of proposed approach is evaluated using confusion matrix plot.