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)


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.


Decision Support System Inference Rule Oriental Medicine Rheumatic State Fuzzy Graph 
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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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