Synthesis of Fuzzy Logic for Prediction and Medical Diagnostics by Energy Characteristics of Acupuncture Points
Author(s) -
Riad Taha Al-Kasasbeh,
Nikolay Korenevskiy,
Florin Ionescou,
Mahdi Salman Alshamasin,
Alexander Kuzmin
Publication year - 2011
Publication title -
journal of acupuncture and meridian studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.374
H-Index - 32
eISSN - 2093-8152
pISSN - 2005-2901
DOI - 10.1016/j.jams.2011.09.005
Subject(s) - acupuncture , terminology , fuzzy logic , human anatomy , reflex , computer science , artificial intelligence , medicine , medical physics , mathematics , alternative medicine , pathology , anatomy , philosophy , linguistics
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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