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16th IEEE Symposium on Computer-Based Medical Systems (CBMS'03)   p. 136
Intelligent Platform for Automatic Medical Knowledge Acquisition: Detection and Understanding of Neural Dysfunctions
Milan Zorman, University of Maribor and Complex and Intelligent Systems Institute
Peter Kokol, University of Maribor and Centre for Interdisciplinary and Multidisciplinary Research and Studies
Mitja Leni c, University of Maribor
Petra Povalej, University of Maribor
Bruno Stiglic, University of Maribor
Dusan Flisar, Maribor Teaching Hospital

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2003.1212779
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Abstract
The use of intelligent systems and machine learning methods, capable of automatic decision making based on already solved cases, and data mining, are getting more and more popular. Here we are faced not only with technical problems, but also with limited confidence in machine learning techniques. In some cases methods that may explicitly show the deduction process are not powerful enough. One of the possibilities is to modify/improve the methods so that the users could easily follow the process of decision making. To solve this problem, a few years ago we started to develop a platform, which enables us to develop, test and use different kinds of hybrid methods. These are meant to combine the advantages of the integrated methods — e.g., power and knowledge representation — that contribute to the quality of the acquired knowledge. In this paper we present a way of using the developed platform in order to obtain new knowledge, based on results from neurophysiological measurements We are every pleased with the performance of our intelligent platform. The first results we obtained already show some improvement in comparison to classic machine learning approaches.
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Citation:  Milan Zorman, Peter Kokol, Mitja Leni c, Petra Povalej, Bruno Stiglic, Dusan Flisar, "Intelligent Platform for Automatic Medical Knowledge Acquisition: Detection and Understanding of Neural Dysfunctions," cbms, p. 136,  16th IEEE Symposium on Computer-Based Medical Systems (CBMS'03),  2003