Fuzzy Decision Trees in medical decision Making Support System

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 (...

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Bibliographic Details
Published in:	2012 Federated Conference on Computer Science and Information Systems (FedCSIS) pp. 213 - 219
Main Authors:	Levashenko, V., Zaitseva, E.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-09-2012
Subjects:	Breast cancer Decision making Decision trees Estimation Fuzzy logic History Medical diagnostic imaging
Online Access:	Get full text
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Summary:	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.
ISBN:	9781467307086 1467307084