Numerical software algorithms for monitoring control processes and correcting health by synthesis of hybrid fuzzy rules of decision-making on the basis of changes in energetic characteristics of biologically active points
by Riad Taha Al-Kasasbeh; Nikolay Korenevskiy; Mahdi Salman Alshamasin; Dmitry Klionskiy; Florin Ionescu
International Journal of Modelling, Identification and Control (IJMIC), Vol. 25, No. 2, 2016

Abstract: In contemporary medical practice, there is a growing interest in traditional oriental methods of reflexodiagnostics and reflexotherapy based upon teaching about the meridian energy balance of the body. In the present paper, new mathematical models are offered, which reflect the interaction between internal organs and biologically active points (BAPs) of meridian structures and make it possible to specify and analyse a wide range of diseases. Numerical software methods and algorithms are described for selecting BAPs and correcting health condition by acupuncture methods. The results show the best quality of decision-making is provided if the synthesis of fuzzy decision rules is carried out according to exploratory analysis intended for studying various features of data. The paper contains information about the way the prediction problem can be solved and how it is possible to deal with the need for early diagnosis of stomach diseases using the suggested software method and algorithms. Checking on testing sets with 100 persons for each class formed by highly-qualified experts showed that the diagnostic effectiveness of the solution exceeds 0.85. Such a result permits us to recommend the decision rules we have developed for practical application.

Online publication date: Wed, 09-Mar-2016

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