Title :
Using Bayes Network for Prediction of Type-2 diabetes
Author :
Yang Guo ; Guohua Bai ; Yan Hu
Author_Institution :
Sch. of Comput., Blekinge Inst. of Technol., Karlskrona, Sweden
Abstract :
Diabetes mellitus is a chronic disease and a major public health challenge worldwide. Using data mining methods to aid people to predict diabetes has become a popular topic. In this paper, Bayes Network was proposed to predict patients with developing Type-2 diabetes. The dataset used is the Pima Indians Diabetes Data Set, which collects the information of patients with and without developing Type-2 diabetes. Weka software was used throughout this study. Accurate results have been obtained which proves using the proposed Bayes network to predict Type-2 diabetes is effective.
Keywords :
belief networks; data mining; diseases; learning (artificial intelligence); medical diagnostic computing; medical information systems; Bayes network; Pima Indians diabetes data set; Weka software; data mining method; diabetes mellitus; patient information; public health challenge; type-2 diabetes prediction; Diabetes; Educational institutions; Insulin; Pregnancy; Skin; Standards; Bayes Network; Prediction; Type-2 Diabetes;
Conference_Titel :
Internet Technology And Secured Transactions, 2012 International Conference for
Conference_Location :
London
Print_ISBN :
978-1-4673-5325-0
