Análisis de componentes principales y análisis de regresión para datos categóricos. Aplicación en la hipertensión arterial
Guardado en:
| Autores: | , , |
|---|---|
| 格式: | artículo original |
| 状态: | Versión publicada |
| Fecha de Publicación: | 2010 |
| 实物特征: | 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. |
| País: | Portal de Revistas UCR |
| 机构: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| 语言: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/2128 |
| 在线阅读: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/2128 |
| Palabra clave: | categorical regression arterial hypertension classifiers ROC curves : regresión categórica hipertensión arterial clasificación curvas ROC |