Y. Goletsis

Work place: University of Ioannina, Dept. of Economics, Ioannina, Greece

E-mail: cgoletsis@cc.uoi.gr


Research Interests: Computer systems and computational processes, Artificial Intelligence, Data Mining, Decision Support System, Data Structures and Algorithms, Analysis of Algorithms, Numerical Analysis


Dr. Yorgos Goletsis holds a Diploma Degree in electrical engineering and the Ph.D. degree in Operations Research, both from the National Technical University of Athens, Athens, Greece. He is a Lecturer in the Department of Economics, University of Ioannina. His research interests include operations research, decision support systems, multicriteria analysis, quantitative analysis, data mining, artificial intelligence, project evaluation.

Author Articles
Using Artificial Immune Recognition Systems in Order to Detect Early Breast Cancer

By C.D. Katsis I. Gkogkou C.A. Papadopoulos Y. Goletsis P.V. Boufounou G. Stylios

DOI: https://doi.org/10.5815/ijisa.2013.02.04, Pub. Date: 8 Jan. 2013

In this work, a decision support system for early breast cancer detection is presented. In hard to diagnose cases, different examinations (i.e. mammography, ultrasonography and magnetic resonance imaging) provide contradictory findings and patient is guided to biopsy for definite results. The proposed method employs a Correlation Feature Selection procedure and an Artificial Immune Recognition System (AIRS) and is evaluated using real data collected from 53 subjects with contradictory diagnoses. Comparative results with commonly used artificial intelligence classifiers verify the suitability of the AIRS classifier. The application of such an approach can reduce the number of unnecessary biopsies.

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