Fuzzy Decision Trees in medical decision Making Support System

Author

Levashenko, Vitaly ; Zaitseva, Elena

Author_Institution

Univ. of Zilina, Zilina, Slovakia

fYear

2012

fDate

9-12 Sept. 2012

Firstpage

213

Lastpage

219

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;

fLanguage

English

Publisher

ieee

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

Type

conf

Filename

6354402