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An information entropy model on clinical assessment of patients based on the holographic field of meridian

Author

Listed:
  • Wu, Jingjing
  • Wu, Xinming
  • Li, Pengfei
  • Li, Nan
  • Mao, Xiaomei
  • Chai, Lihe

Abstract

Meridian system is not only the basis of traditional Chinese medicine (TCM) method (e.g. acupuncture, massage), but also the core of TCM’s basic theory. This paper has introduced a new informational perspective to understand the reality and the holographic field of meridian. Based on maximum information entropy principle (MIEP), a dynamic equation for the holographic field has been deduced, which reflects the evolutionary characteristics of meridian. By using self-organizing artificial neural network as algorithm, the evolutionary dynamic equation of the holographic field can be resolved to assess properties of meridians and clinically diagnose the health characteristics of patients. Finally, through some cases from clinical patients (e.g. a 30-year-old male patient, an apoplectic patient, an epilepsy patient), we use this model to assess the evolutionary properties of meridians. It is proved that this model not only has significant implications in revealing the essence of meridian in TCM, but also may play a guiding role in clinical assessment of patients based on the holographic field of meridians.

Suggested Citation

  • Wu, Jingjing & Wu, Xinming & Li, Pengfei & Li, Nan & Mao, Xiaomei & Chai, Lihe, 2017. "An information entropy model on clinical assessment of patients based on the holographic field of meridian," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 219-232.
    • Handle: RePEc:eee:phsmap:v:471:y:2017:i:c:p:219-232
    DOI: 10.1016/j.physa.2016.11.099
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    References listed on IDEAS

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    1. Feng, Qing Yi & Chai, Li He, 2008. "A new statistical dynamic analysis on vegetation patterns in land ecosystems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3583-3593.
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