An integration of Bayesian belief networks in multi-criteria decision analysis: An application in medical decision making
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Abstract (EN)
This thesis analyzes the Medical counseling problem regarding breast cancer disease by using Bayesian Belief Network structure to visualize the conditional dependencies between variables and their impact on each other. Analytical Hierarchy Process (AHP) method is utilized to approximate the conditional probabilities of the diagnostic Fine Needle Aspiration (FNA) test outcome. The accuracy of the results obtained from surgical biopsy are compared to the actual outcomes and evaluated in terms of consistency and error magnitude. Keywords: Bayesian Belief Networks, Multi-criteria Decision Analysis, AHP, Medical Decision Making, Fine Needle Aspiration (FNA)
Author
Dilan Karatepe
How to Cite
Dilan Karatepe (Master Thesis). An integration of Bayesian belief networks in multi-criteria decision analysis: An application in medical decision making, 2007, Çankaya University.
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