Published January 1, 2014
| Version v1
Journal article
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Comparison of different inference algorithms for medical decision making
- 1. Hacettepe Univ, Informat Management Dept, TR-06800 Ankara, Turkey
- 2. Hacettepe Univ, Dept Comp Engn, TR-06800 Ankara, Turkey
- 3. Yildiz Tekn Univ, Dept Engn Math, TR-34220 Istanbul, Turkey
- 4. Istanbul Tech Univ, Dept Ind Engn, TR-34367 Istanbul, Turkey
Description
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.
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