INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, vol.7, pp.29-44, 2014 (SCI-Expanded)
Article / Article
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
Science Citation Index Expanded (SCI-EXPANDED), Scopus
Medical Decision Support Systems, Bayesian Networks, Rule-Based Systems, ALARM Network, ARTIFICIAL-INTELLIGENCE, BAYESIAN NETWORKS
Yıldız Technical University Affiliated:
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.