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A Decision Support System for Rheumatic Evaluation and Treatment in Oriental Medicine Using Fuzzy Logic and Neural Network

  • Cao Thang
  • Eric W. Cooper
  • Yukinobu Hoshino
  • Katsuari Kamei
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3558)

Abstract

In this paper, we present an application of soft computing into a decision support system RETS: Rheumatic Evaluation and Treatment System in Oriental Medicine (OM). Inputs of the system are severities of observed symptoms on patients and outputs are a diagnosis of rheumatic states, its explanations and herbal prescriptions. First, an outline of the proposed decision support system is described after considering rheumatic diagnoses and prescriptions by OM doctors. Next, diagnosis by fuzzy inference and prescription by neural networks are described. By fuzzy inference, RETS diagnoses the most appropriate rheumatic state in which the patient appears to be infected, then it gives an oriental prescription written in suitable herbs with reasonable amounts based on neural networks. Training data for the neural networks is collected from experienced OM physicians and OM text books. Finally, we describe evaluations and restrictions of RETS.

Keywords

Decision Support System Inference Rule Oriental Medicine Rheumatic State Fuzzy Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Ba, L.A.: Treating reality rheumatism. Medicine and pharmacy journal HCMC (June 2001)Google Scholar
  2. 2.
    Abbod, M.F., von Keyserlingk, D.G., Linkens, D.A., Mahfouf, M.: Survey of utilisation of fuzzy technology in Medicine and Healthcare. Fuzzy Sets and Systems 120, 331–349 (2001)CrossRefMathSciNetGoogle Scholar
  3. 3.
    Belmonte-Serrano, M., Sierra, C., Lopezde-Mantaras, R.: RENOIR: an expert system using fuzzy logic for rheumatology diagnosis. Internat. J. Intell. Systems 9(11), 985–1000 (1994)CrossRefGoogle Scholar
  4. 4.
    Boegl, K., Kainberger, F., Adlassnig, K.P., Kolousek, G., Leitich, H., Kolarz, G., Imhof, H.: New approaches to computer-assisted diagnosis of rheumatologic diseases. Radiologe 35(9), 604–610 (1995)Google Scholar
  5. 5.
    Dybowski, R., Gant, V.: Clinical applications of Artificial neural networks. Cambridge University Press, Cambridge (2001)zbMATHCrossRefGoogle Scholar
  6. 6.
    Bezerianos, A., Papadimitriou, S., Alexopoulos, D.: Radial basis function neural networks for the characterization of heart rate variability dynamics. Artificial Intelligence in Medicine 15(3), 215–234 (1999)CrossRefGoogle Scholar
  7. 7.
    Thuy, T., Nhac, P.D., Chau, H.B.: Hanoi Medical University - Lectures in Oriental Medicine. Medicine Pub., Hanoi 2, 160–165 (2002)Google Scholar
  8. 8.
    Durkin, J.: Expert System, Design and Development. Prentice Hall Inc., New York (1994)Google Scholar
  9. 9.
    Duda, R.O., et al.: A Computer Based Consultant for Mineral Exploration. SRI International Menlo Park, CA (September 1979) Google Scholar
  10. 10.
    Meksown, D.M., Wilson A.H.: Automating Knowledge Acquisition for Aerial Image Interpretation. Computer Vision Graphics (1990) Google Scholar
  11. 11.
    Feigenbaum, E.A., Buchanan, B.G.: DENDRAL and META-DENDRAL: Roots of knowledge systems and expert system applications. Artificial Intelligence 59, 223–240 (1993)CrossRefGoogle Scholar
  12. 12.
    Zlatina, L.A., Elyashberg, M.E.: Generation of stereoisomers and their spatial models corresponding to the given molecular structure. MATCH 27, 191 (1992)Google Scholar
  13. 13.
    Pigford, D.V., Baur, G.: Expert Systems for Business: Concepts and Applications. International Thomson Pub. Company (1995)Google Scholar
  14. 14.
    Negnevitsky, M.: Artificial Intelligence - A Guide to Intelligent Systems. Pearson Education Limited, London (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Cao Thang
    • 1
  • Eric W. Cooper
    • 2
  • Yukinobu Hoshino
    • 3
  • Katsuari Kamei
    • 3
  1. 1.Graduate School of Science and EngineeringRitsumeikan UniversityJapan
  2. 2.21st Century Center of ExcellenceRitsumeikan UniversityJapan
  3. 3.College of Information Science and EngineeringRitsumeikan UniversityJapan

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