High Cardiovascular Risk Models for a city in the Central Region of Cuba

DOI

10.2991/.2013.36How to use a DOI?

Keywords

High Cardiovascular Risk, Fuzzy Logic, multiclassifier, diversity measures

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, consid-ering the characteristics of the population of the city are obtained. Four multivariate statistical techniques are ap-plied to obtain the mathematical models: Linear Discrimi-nant 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 clas-sifiers are combined into a multiclassifier. This model is better than the others. The statistical package SPSS, Mi-crosoft Excel and EFuzzy software were used to perform all the calculus.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gladys M. Casas-Cardoso
AU  - Jorge Luis Morales-Martínez
AU  - Lisset Denoda-Pérez
AU  - Leidys Cabrera-Hernández
AU  - Lucía Argüelles-Cortés
AU  - Emilio González-Rodríguez
PY  - 2013/10
DA  - 2013/10
TI  - High Cardiovascular Risk Models for a city in the Central Region of Cuba
BT  - Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
PB  - Atlantis Press
SP  - 295
EP  - 302
SN  - 1951-6851
UR  - https://doi.org/10.2991/.2013.36
DO  - 10.2991/.2013.36
ID  - Casas-Cardoso2013/10
ER  -