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Interpretation of Medical Symptoms Using Fuzzy Focal Elements

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Computer Recognition Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 30))

Abstract

In medical diagnosis symptoms often differ in nature varying form linguistic information trough numerical values to crisp statements. Hence, unification of their interpretation during diagnosis support is difficult. The authors propose the diagnosis support using an extension of the Dempster-Shafer theory for fuzzy focal elements. Performance of the method depends on the membership function shapes. The paper provides indications for imprecise symptom representation and its membership function determination. The problems are discussed for thyroid gland diseases. Conclusions helpful in diagnosis support are formulated.

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References

  1. Gordon J, Shortlifie EH (1984) The Dempster-Shafer Theory of Evidence,. In: Rule-BasedExpertSystems Buchanan BG, Shortlifie EH (eds), Addison Wesley, 272–292

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  2. Kacprzyk J, Fedrizzi M (eds) (1994) Advances in Dempster-Shafer Theory of Evidence.

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  3. Straszecka E (2000) An interpretation of focal elements as fuzzy sets, Int J Intelligent Systems 18: 821–835

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© 2005 Springer-Verlag Berlin Heidelberg

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Straszecka, E., Straszecka, J. (2005). Interpretation of Medical Symptoms Using Fuzzy Focal Elements. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_33

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  • DOI: https://doi.org/10.1007/3-540-32390-2_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25054-8

  • Online ISBN: 978-3-540-32390-7

  • eBook Packages: EngineeringEngineering (R0)

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