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International Conference on Current Trends in Theory and Practice of Computer Science

SOFSEM 1995: SOFSEM '95: Theory and Practice of Informatics pp 431–436Cite as

Fuzzy set theory and medical expert systems: Survey and model

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1012))

Abstract

In recent years, fuzzy set theory and Fuzzy Logic are applied successfuly in medical expert systems as CADIAG, MILORD etc. This paper intends to provide a short survey on application of fuzzy set theory in medicine, especialy, fuzzy logic in medical expert systems. An improved fuzzy inference model of CADIAG-2 for medical diagnosis combining negative and positive evidence is presented. This model can be used for obtain more smooth transition between confirmed and disconfirmed diagnoses.

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Authors and Affiliations

  1. Institute of Computer Science, Academy of Sciences of the Czech Republic, Pod vodárenskou věží 2, 182 07, Praha 8, Czech Republic

    Nguyen Hoang Phuong

Authors
  1. Nguyen Hoang Phuong
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Miroslav Bartosek Jan Staudek Jirí Wiedermann

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© 1995 Springer-Verlag Berlin Heidelberg

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Phuong, N.H. (1995). Fuzzy set theory and medical expert systems: Survey and model. In: Bartosek, M., Staudek, J., Wiedermann, J. (eds) SOFSEM '95: Theory and Practice of Informatics. SOFSEM 1995. Lecture Notes in Computer Science, vol 1012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60609-2_29

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  • DOI: https://doi.org/10.1007/3-540-60609-2_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60609-3

  • Online ISBN: 978-3-540-48463-9

  • eBook Packages: Springer Book Archive

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