Experiments with hybridization and optimization of the rules knowledge base for classification of MMPI profiles

Authors:
Jerzy Gomuła;Wiesław Paja;Krzysztof Pancerz;Teresa Mroczek;Mariusz Wrzesień
Affiliations:
The Andropause Institute, Medan Foundation, Warsaw, Poland and Cardinal Stefan Wyszyński University in Warsaw, Poland;Institute of Biomedical Informatics, University of Information Technology and Management in Rzeszów, Poland;Institute of Biomedical Informatics, University of Information Technology and Management in Rzeszów, Poland;Institute of Biomedical Informatics, University of Information Technology and Management in Rzeszów, Poland;Institute of Biomedical Informatics, University of Information Technology and Management in Rzeszów, Poland
Venue:
ICDM'11 Proceedings of the 11th international conference on Advances in data mining: applications and theoretical aspects
Year:
2011

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Abstract

In the paper, we investigate a problem of hybridization and optimization of the knowledge base for the Copernicus system. Copernicus is a tool for computer-aided diagnosis of mental disorders based on personality inventories. Currently, Copernicus is used to analyze and classify patients' profiles obtained from the Minnesota Multiphasic Personality Inventory (MMPI) test. The knowledge base embodied in the Copernicus system consists of, among others, classification functions, classification rule sets as well as nosological category patterns. A special attention is focused on selection of a suitable set of rules classifying new cases. In experiments, rule sets have been generated by different data mining tools and have been optimized by generic operations implemented in the RuleSEEKER system.