High Cardiovascular Risk Models for a city in the Central Region of Cuba
Gladys M. Casas-Cardoso, Jorge Luis Morales-Martínez, Lisset Denoda-Pérez, Leidys Cabrera-Hernández, Lucía Argüelles-Cortés, Emilio González-Rodríguez
Gladys M. Casas-Cardoso
Available Online October 2013.
- https://doi.org/10.2991/.2013.36How to use a DOI?
- High Cardiovascular Risk, Fuzzy Logic, multiclassifier, diversity measures
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/.2013.36 ID - Casas-Cardoso2013/10 ER -