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16th IEEE Symposium on Computer-Based Medical Systems (CBMS'03)   p. 242
Improved Medical Decision Support with Multimethod Approach
Mitja Lenic, University of Maribor
Petra Povalej, University of Maribor
Milan Zorman, University of Maribor
Peter Kokol, University of Maribor
Enis Avdicaiscevic, University of Maribor
Bruno Stiglic, University of Maribor

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2003.1212796
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Abstract
An enormous proliferation of databases in almost all areas of human life has created great need to develop tools for automatic knowledge extraction. Extracted knowledge can be used for categorizing, organizing or predictive purposes. One of the problems encountered is how to make a good induction with good generalization and knowledge representation what is especial important in medical domain. Although the research filed is very active, it is mainly focused on a specific method or on a specific combination of those methods. In this paper a multimethod approach is presented. This approach unlike other conventional hybrid approaches applies different methods on the same knowledge base where each method may contain inherent limitations with the expectation that the combined multiple methods may produce better results. It also addresses unbalanced nature of medical data.
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Citation:  Mitja Lenic, Petra Povalej, Milan Zorman, Peter Kokol, Enis Avdicaiscevic, Bruno Stiglic, "Improved Medical Decision Support with Multimethod Approach," cbms, p. 242,  16th IEEE Symposium on Computer-Based Medical Systems (CBMS'03),  2003