Keywords
arterial hypertension
classifiers
ROC curves
: regresión categórica
hipertensión arterial
clasificación
curvas ROC
How to Cite
Abstract
The present work is about the statistical processing of categorical data. The mathematical details of the Categorical Principal Components and the Categorical Regression Analysis are explained. The combination of both techniques can be used to solve classification problems. Because these techniques are relatively new, we decided to use another technique (classification trees following the chi squared criteria) to make a comparison of their results, with the help of the theory of ROC curves.
In the application, supposedly healthy patients of Santa Clara, Cuba, were diagnosed as hypertensive, pre hypertensive and no hypertensive by a Committee of Medical Experts. Categorical Component Analysis and Categorical Regression Analysis were applied in order to successfully solve the classification problem.
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Copyright (c) 2010 Juan M. Navarro Céspedes, Gladys M. Casas Cardoso, Emilio González Rodríguez