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Hybridization of immunological computation and fuzzy systems in surgery decision making

Published: 12 September 2011 Publication History

Abstract

From the domain of Computational Intelligence we have selected immunological computation and fuzzy systems to combine them in a new hybrid model. This novel numerical method has been tested on patient data strings to make decisions about the choices of surgery types. The model input clinical data concerns patients who suffer from gastric cancer.

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            Published In

            cover image Guide Proceedings
            KES'11: Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
            September 2011
            464 pages
            ISBN:9783642238659

            Sponsors

            • DFKI: DFKI GmbH
            • Institute of Integrated Sensor Systems, University of Kaiserslautern, Germany: Institute of Integrated Sensor Systems, University of Kaiserslautern, Germany
            • Center for Computational and Mathematical Modeling, University of Kaiserslautern, Germany: Center for Computational and Mathematical Modeling, University of Kaiserslautern, Germany

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            Springer-Verlag

            Berlin, Heidelberg

            Publication History

            Published: 12 September 2011

            Author Tags

            1. NS algorithms
            2. fuzzification of biological markers
            3. immunological computation
            4. parametric s-functions
            5. self/non-self discrimination
            6. surgery type decisions

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