An Application of Soft Computing to RETS: Rheumatic Evaluation and Treatment System by Oriental Medicine

  • CAO Thang
    Graduate School of Science and Engineering, Ritsumeikan University
  • COOPER Eric W.
    College of Information Science and Engineering, Ritsumeikan University
  • HOSHINO Yukinobu
    Dept. of Electronic and Photonic System Engineering, Kochi University of Technology
  • KAMEI Katsuari
    College of Information Science and Engineering, Ritsumeikan University
  • NGUYEN Hoang Phuong
    Information Technology Center, Ministry of Health of Vietnam

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Abstract

In this paper, we present an application of soft computing into an expert system RETS: Rheumatic Evaluation and Treatment System by Oriental Medicine (OM). Inputs are severities of observed symptoms on patients and outputs are a diagnosis of rheumatic states, its explanation and herbal prescriptions. First, after using fuzzy inferences, RETS diagnoses the most suitable rheumatic state in which the patient appears to be infected and shows explanations. Next, based on prescriptions for rheumatism learned by neural networks from skilled OM physicians and OM text books, RETS gives an oriental prescription written in suitable herbs with reasonable amounts. Finally, we describe evaluations and restrictions of RETS, and then describe our future work.

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