Implementation of artificial intelligence methods on example of cardiovascular diseases risk stratification

The paper presents implementation of artificial intelligence methods on the example of the risk stratification of cardiovascular diseases. In the research were used four methods: artificial neural networks, Bayesian networks, decision trees and simple classification models. The obtained results give us possibility to evaluate automatically a health state of the patient and can be helpful in further decisions concerning medical treatment. The obtained results of our research can be also helpful in diagnosis procedures for evaluation of the probability of sudden cardiac arrest.