Classification and Regression Tree-A Case study of AIDS Patients at Antiretroviral TherapycenterKhartoum (Feb/2014)

Abstract

The prediction for TB infection for the patient of AIDS disease, we found that many variables influence the infection by it like sex, age and alcohol drinking etc, all these variables different in statistical classification and can’t be merge in one multiple regression model. For that purpose this study aims to found one model to classify the disease by using CART model for prediction. This study gained a model to predict the infection and the age for the AIDS patients from the classification and regression tree CART. The study recommended increases the sample size and adding other related variables to the model. Also it recommended to study another diseases which related to AIDS like renal and liver failure.