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Using Bayes Network for Prediction of Type-2 Diabetes
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
2012 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

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.
Keyword [en]
Bayes Network, Prediction, Type-2 Diabetes
National Category
Media and Communications Computer Science
Identifiers
URN: urn:nbn:se:bth-7070Local ID: oai:bth.se:forskinfoF6E1AA019BA9DAD5C1257ABE002FE130OAI: oai:DiVA.org:bth-7070DiVA: diva2:834649
Conference
7th International Conference for Internet Technology and Secured Transactions (ICITST)
Available from: 2012-12-17 Created: 2012-11-22 Last updated: 2015-06-30Bibliographically approved

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fulltext(272 kB)230 downloads
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
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  • de-DE
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  • en-US
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  • nn-NB
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Output format
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