Using Bayes Network for Prediction of Type-2 Diabetes
2012 (English)Conference paper (Refereed) Published
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.
Place, publisher, year, edition, pages
London: IEEE , 2012.
Bayes Network, Prediction, Type-2 Diabetes
Media and Communications Computer Science
IdentifiersURN: urn:nbn:se:bth-7070Local ID: oai:bth.se:forskinfoF6E1AA019BA9DAD5C1257ABE002FE130OAI: oai:DiVA.org:bth-7070DiVA: diva2:834649
7th International Conference for Internet Technology and Secured Transactions (ICITST)