Análisis de componentes principales y análisis de regresión para datos categóricos. Aplicación en la hipertensión arterial

 

Đã lưu trong:
Chi tiết về thư mục
Nhiều tác giả: Navarro Céspedes, Juan M., Casas Cardoso, Gladys M., González Rodríguez, Emilio
Định dạng: artículo original
Trạng thái:Versión publicada
Ngày xuất bản:2010
Miêu tả: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.
Quốc gia:Portal de Revistas UCR
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Ngôn ngữ:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/2128
Truy cập trực tuyến:https://revistas.ucr.ac.cr/index.php/matematica/article/view/2128
Từ khóa:categorical regression
arterial hypertension
classifiers
ROC curves
: regresión categórica
hipertensión arterial
clasificación
curvas ROC