title: Synthesis of fuzzy logic for prediction and medical diagnostics by energy characteristics of acupuncture points.
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.
authors: Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan. rjordanjo@mail.ru
authors: Riad
authors: R
authors: Al-Kasasbeh
authors: Nikolay
authors: N
authors: Korenevskiy
authors: Florin
authors: F
authors: Ionescou
authors: Mahdi
authors: M
authors: Alshamasin
authors: Alexander
authors: A
authors: Kuzmin
mesh_terms: D015669:Acupuncture Points; D015670:Acupuncture Therapy / Q000379:methods*; D000465:Algorithms; D003657:Decision Making; D042241:Early Diagnosis; D017143:Fuzzy Logic; D006331:Heart Diseases / Q000175:diagnosis; D006801:Humans; D008954:Models, Biological; D013272:Stomach Diseases / Q000175:diagnosis