Synthesis of Fuzzy Logic for Prediction and Medical Diagnostics by Energy Characteristics of Acupuncture Points
Journal: Journal of Acupuncture and Meridian Studies (Vol.4, No. 3)Publication Date: 2011-09-30
Authors : Riad Al-Kasasbeh; Nikolay Korenevskiy; Florin Ionescou; Mahdi Alshamasin; et al.;
Page : 175-182
Keywords : acupuncture points; confidence factors; diagnostically important points (DIP); fuzzy logic; heart disease; membership functions; stomach diseases;
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.
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