Cognitive systems for medical pattern understanding and diagnosis

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Abstract

In the paper will be presented a new way of intelligent cognitive systems and pattern analysis using cognitive categorization. Such an understanding will be based on the linguistic and cognitive mechanisms of pattern recognition and classification. The goal is making computer analysis of the meaning for some selected classes of medical patterns. The approach presented will show the possibilities of automatic and intelligent disease detection and its classification based on cognitive resonance processes. Cognitive categorisation systems operate by executing a particular type of thought, cognitive and reasoning processes which take place in the human mind and which ultimately lead to making an in-depth description of the analysis and reasoning process. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Ogiela, L. (2008). Cognitive systems for medical pattern understanding and diagnosis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5177 LNAI, pp. 394–400). Springer Verlag. https://doi.org/10.1007/978-3-540-85563-7_51

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