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On Differential Stroke Diagnosis by Neuro-fuzzy Structures

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Artificial Intelligence and Soft Computing – ICAISC 2008 (ICAISC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5097))

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Abstract

In this paper we develop a neuro-fuzzy system for stroke diagnosis. A novel concept of weights describing importance of antecedents and rules will be incorporated into construction of such systems. Simulation results based on 298 real stroke data will be presented.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Czestochowa University of Technology, Poland

    Krzysztof Cpałka, Tomasz Gałkowski & Leszek Rutkowski

  2. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Krzysztof Cpałka & Leszek Rutkowski

  3. Institute of Neurology, Russian Academy of Medical Sciences, Russia

    Olga Rebrova

Authors
  1. Krzysztof Cpałka
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  2. Olga Rebrova
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  3. Tomasz Gałkowski
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  4. Leszek Rutkowski
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Editor information

Leszek Rutkowski Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

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© 2008 Springer-Verlag Berlin Heidelberg

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Cpałka, K., Rebrova, O., Gałkowski, T., Rutkowski, L. (2008). On Differential Stroke Diagnosis by Neuro-fuzzy Structures. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_92

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  • DOI: https://doi.org/10.1007/978-3-540-69731-2_92

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69572-1

  • Online ISBN: 978-3-540-69731-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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