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Generation of Representative Symptoms Based on Fuzzy Concept Lattices

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Computational Intelligence, Theory and Applications

Part of the book series: Advances in Soft Computing ((AINSC,volume 33))

Abstract

It is very challenging and interesting task in medicine to find a set of representative symptoms for the disease, i.e., the set of symptoms that best characterizes a disease. In this paper we propose a method for constructing such representative symptoms for a particular disease, based on the data taken from the patient-records. The method uses a closure operator on the base of which a (one-sided) fuzzy concept lattice is defined.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Kiseliova, T., Krajči, S. (2005). Generation of Representative Symptoms Based on Fuzzy Concept Lattices. In: Reusch, B. (eds) Computational Intelligence, Theory and Applications. Advances in Soft Computing, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31182-3_32

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  • DOI: https://doi.org/10.1007/3-540-31182-3_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22807-3

  • Online ISBN: 978-3-540-31182-9

  • eBook Packages: EngineeringEngineering (R0)

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