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基于穴位能量特征的模糊逻辑在预测和医学诊断中的合成。

Synthesis of fuzzy logic for prediction and medical diagnostics by energy characteristics of acupuncture points.

作者信息

Al-Kasasbeh Riad, Korenevskiy Nikolay, Ionescou Florin, Alshamasin Mahdi, Kuzmin Alexander

机构信息

Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan.

出版信息

J Acupunct Meridian Stud. 2011 Sep;4(3):175-82. doi: 10.1016/j.jams.2011.09.005. Epub 2011 Oct 1.

DOI:10.1016/j.jams.2011.09.005
PMID:21981868
Abstract

A great number of reflexologies use ancient concepts that do not coincide with modern medical terminology of anatomy, physiology, and biophysics, substantially reducing the trust of today's physicians in this direction of their profession. Recently, several mathematical models of internal and biological active points of meridian structures interaction have been proposed. These models allowed specification of diseases for which reflex diagnostics and reflex therapy methods are most effective and also increased the efficacy of these procedures. Good results for the prediction and early diagnosis of diseases from the reaction energy of biologically active points (acupuncture points) are obtained using fuzzy logic decision making.

摘要

大量的反射疗法使用的是古老的概念,这些概念与解剖学、生理学和生物物理学的现代医学术语不一致,这大大降低了当今医生对该专业这一方向的信任度。最近,已经提出了几种经络结构相互作用的内部和生物活性点的数学模型。这些模型可以确定反射诊断和反射疗法最有效的疾病类型,同时也提高了这些程序的疗效。利用模糊逻辑决策,从生物活性点(穴位)的反应能量中获得了疾病预测和早期诊断的良好结果。

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