Cognitive analysis in diagnostic DSS-Type IT systems

Authors:
Lidia Ogiela;Ryszard Tadeusiewicz;Marek R. Ogiela
Affiliations:
Faculty of Management, AGH University of Science and Technology, Kraków, Poland;Institute of Automatics, AGH University of Science and Technology, Poland;Institute of Automatics, AGH University of Science and Technology, Poland
Venue:
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

This paper demonstrates that AI methods – in particular, linguistic mechanisms of semantic meaning reasoning can be applied to the development of intelligent IT systems. They also facilitate an in-depth analysis of the meaning presented in DDS information systems. This paper also presents the IT mechanisms of object meaning description on selected examples of spinal cord image analysis. The procedures for such semantic reasoning are based on the model of cognitive resonance. These have been applied to the task of interpreting the meaning of selected diagnostic images from the central nervous system as an intelligent analysis module in IT systems. The application presented in this paper is of a research character and it serves the preparation of efficient lesion detection methods applied to a dataset originating from magnetic and resonance examinations of the spinal cord structures.