Evaluation of risk factors selection in cardiac risk stratification

In the past few years a number of algorithms for cardiovascular risk stratification have been proposed to the medical community but a big question has been remained unsolved: From among alternative sets of cardiac risk factors which ones are more significant in cardiac risk stratification? In this paper a hybrid neuro-fuzzy classifier, IRIDIA Method for Neuro-fuzzy Identification and Data Analysis, was applied to determine the cardiac risk stratification. Using the obtained neuro-fuzzy model, sensitivity analysis of cardiac risk factors was derived to sort out cardiac risk factors according their significance - which factor has great effect on cardiac risk.