Title :
Fuzzy Decision Trees in medical decision Making Support System
Author :
Levashenko, Vitaly ; Zaitseva, Elena
Author_Institution :
Univ. of Zilina, Zilina, Slovakia
Abstract :
Decision Making Support System based on Fuzzy Logic is considered in this paper for oncology disease diagnosis. The decision making procedure corresponds to the recognition (classification) of the new case by analyzing a set of instances (already solved cases) for which classes are known. Ontology (solved cases) is defined as Fuzzy Classification Rules that are formed by different Fuzzy Decision Trees. Three types of Fuzzy Decision Trees (Non-ordered, ordered and Stable) are considered in the paper. Induction of these Fuzzy Decision Trees is based on Cumulative Information Estimates. The proposed approach is implemented based on medical problem benchmark with real clinical data for breast cancer diagnosis.
Keywords :
decision making; decision support systems; decision trees; diseases; fuzzy logic; medical computing; breast cancer diagnosis; fuzzy classification rules; fuzzy decision trees; fuzzy logic; medical decision making support system; oncology disease diagnosis; Breast cancer; Decision making; Decision trees; Estimation; Fuzzy logic; History; Medical diagnostic imaging;
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4673-0708-6
Electronic_ISBN :
978-83-60810-51-4
