Comparison of different inference algorithms for medical decision making

Guven Kose, Hayri Sever, Mert Bal*, Alp Ustundag

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

A medical diagnosis system (DRCAD), which consists of two sub-modules Bayesian and rule-based inference models, is presented in this study. Three types of tests are conducted to assess the performances of the models producing synthetic data based on the ALARM network. The results indicate that the linear combination of the aforementioned models leads to a 5% and a 30% improvement in medical diagnosis when compared to the "Rule Based Method" and the "Bayesian Network Based Method", respectively.

Original languageEnglish
Pages (from-to)29-44
Number of pages16
JournalInternational Journal of Computational Intelligence Systems
Volume7
Issue numberSUPPL.1
DOIs
Publication statusPublished - Jan 2014

Keywords

  • ALARM Network
  • Bayesian Networks
  • Medical Decision Support Systems
  • Rule-Based Systems

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