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Design and Implement for Diagnosis Systems of Hemorheology on Blood Viscosity Syndrome Based on GrC

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2639))

Abstract

This paper discusses the design and implement for the diagnosis software of blood flowing dynamic theory on blood viscosity syndrome (BVS). The BVS is a clinical syndrome caused by one or several blood viscosity factors. The software of diagnosis and treatment in medicine is a reasoning system of the experience of simulating clinical experts. In the system, the experience of experts is transformed into the mathematical formulas using rough-fuzzy & fuzzy-rough approach. And then we create the reasoning system by the mathematical formulas and granular computing. The development of diagnosis software is successful via the applications of several thousand cases in clinic. The system is dynamic, it can learn from examples by visiting the case base. So addition, subtraction, adjustment and update for treatment measures are implemented dynamically. The formulas of the system in compare with similar systems are more perfect. The diagnosis efficiency in clinic of the system in compare with the doctors is higher.

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References

  1. Guoxian Li, Hypothesis on Blood Viscosity Syndrome (Clinical Blood Viscosity Syndrome), International Workshop of Clinical Blood Viscosity Syndrome, USA, 1995.

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  2. Qing Liu and Qun Liu, Approximate Reasoning Based on Granular Computing in Granular Logic, The Proceedings of ICMLS2002, Nov. 4–6, 2002.

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  3. A. Skowron and J. Stepaniuk, Extracting Patterns Using Information Granules, Proceedings of International workshop on Rough Set Theory and Granular Computing (RSTGC-2001), Bulleting of International Rough Set Society, Vol. 5, No. 1/2, May 20–22, 2001, 135–142.

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  4. Qing Liu, Neighborhood Logic and Its Data Reasoning in Information Table of Neighborhood Values, Journal of Computer (in Chinese), Vol. 24, No. 4, 2001, 4.

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© 2003 Springer-Verlag Berlin Heidelberg

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Liu, Q., Jiang, F., Deng, D. (2003). Design and Implement for Diagnosis Systems of Hemorheology on Blood Viscosity Syndrome Based on GrC. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_69

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  • DOI: https://doi.org/10.1007/3-540-39205-X_69

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-14040-5

  • Online ISBN: 978-3-540-39205-7

  • eBook Packages: Springer Book Archive

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