Abstract
This research is based on the study of a real database, in order to determine the factors of the High Cardiovascular Risk in the city of Santa Clara, in the Central Region of Cuba. Mathematical models of the high risk index, considering the characteristics of the population of the city are obtained. Four multivariate statistical techniques are applied to obtain the mathematical models: Linear Discriminant Analysis, Logistic Regression, Classification Trees and a Fuzzy Logic based model. Diversity measures are calculated for the base classifier. As a result, a set of classifiers are combined into a multiclassifier. This model is better than the others. The statistical package SPSS, Microsoft Excel and EFuzzy software were used to perform all the calculus.
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