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[TCM diagnosis and reasoning method based on grey relational analysis].

Haowei Zhang1, Xunshen Zhu

  • 1Medical Instrumentation College, University of Shanghai for Science & Technology, Shanghai 200093, China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|March 6, 2007
PubMed
Summary

This study introduces a new computerized Traditional Chinese Medicine (TCM) diagnosis system. It simulates expert diagnostic processes using a disease filter and grey relational analysis for improved TCM diagnostics.

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Area of Science:

  • Computer Science
  • Medical Informatics
  • Traditional Chinese Medicine

Context:

  • Traditional Chinese Medicine (TCM) diagnosis relies heavily on expert knowledge, posing challenges for standardization and accessibility.
  • Existing expert systems for TCM diagnosis often lack comprehensive simulation of the nuanced diagnostic process.

Purpose:

  • To develop a novel computerized system for Traditional Chinese Medicine (TCM) diagnosis.
  • To simulate the complex diagnostic reasoning employed by TCM experts.
  • To enhance the objectivity and efficiency of TCM diagnostic procedures.

Summary:

  • A new computerized TCM diagnosis system was constructed by simulating expert diagnostic processes.
  • The system incorporates a disease filter method to narrow down potential diagnoses.
  • Grey relational analysis was employed to evaluate and refine diagnostic outcomes.

Impact:

  • This research offers a computational approach to TCM diagnosis, potentially improving consistency and accessibility.
  • The developed system can serve as a tool for TCM practitioners and researchers.
  • It contributes to the integration of computational methods within traditional medical systems.