Mining interesting rules and patterns for salt sensitivity of blood pressure

Given a medical data set containing genetic description of sodium-sensitive and nonsensitive patients, we examine it using several techniques: induction of decision rules, naive Bayes classifier, voting perceptron classifier, decision trees, SVM classifier. We specifically focus on induction of decision rules and so called Pareto-optimal rules, which are of large interpretative value for physicians. We find statistically relevant combinations of attributes, which affect the sodium sensitivity.