Rule-Based Analysis of MMPI Data Using the Copernicus System

  • J. Gomuła
  • W. Paja
  • K. Pancerz
  • J. Szkoła
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 99)

Abstract

Our research concerns psychometric data coming from the Minnesota Multiphasic Personality Inventory (MMPI) test. MMPI is used to count the personality-psychometric dimensions which help specialists in diagnosis of mental diseases. In this paper, we present a part of the Copernicus system – the tool for computer-aided diagnosis of mental diseases based on personality inventories. This part is devoted to the rule-based analysis of the MMPI data expressed in the form of the so-called profiles. The paper characterizes the knowledge base embodied in Copernicus which can be used for the rule-based analysis of the patients’ MMPI data as well as the functionality of the designed tool.

Keywords

Classification Rule Minnesota Multiphasic Personality Inventory Pattern Vector Diagnostic Rule Decision Tree Generation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • J. Gomuła
    • 1
    • 2
  • W. Paja
    • 3
  • K. Pancerz
    • 3
  • J. Szkoła
    • 3
  1. 1.The Andropause Institute, Medan FoundationWarsawPoland
  2. 2.Cardinal Stefan Wyszyński University in WarsawPoland
  3. 3.Institute of Biomedical InformaticsUniversity of Information Technology and Management in RzeszówPoland

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