%0 Journal Article
%T The Prediction of Paediatric HIV/AIDS Patient Survival: A Data Mining Approach
%A Agbelusi Olutola
%A Aladekomo T. A.
%A Idowu Peter Adebayo
%J Asian Journal of Computer and Information Systems
%D 2016
%X This research requires the development of predictive model for determining the survival of Paediatric HIV/AIDS patients who are receiving antiretroviral drugs in the South-western Nigeria. The WEKA software was used in developing the predictive model using Na£¿ve Bayes¡¯ Classifier. Na£¿ve Bayes¡¯ Classifier was used to predict the length of survival of HIV/AIDS patients based on variables like CD4 count, viral load, opportunistic infection and nutritional status. The result shows that Na£¿ve Bayes¡¯ Classification can predict the survival of paediatrics HIV/AIDS patient with an accuracy of 60% to 100% based on selected dependent variables.
%K []
%U https://www.ajouronline.com/index.php/AJCIS/article/view/930