title: Prediction of gastric ulcers based on the change in electrical resistance of acupuncture points using fuzzy logic decision-making.
abstract: Many theories of reflexology use ancient concepts which do not coincide with the modern medical terminology of anatomy, physiology and biophysics. This substantially reduces the trust of physicians in reflexology methods. During this research, several mathematical models for the interaction of the internal and biological active points of meridian structures have been proposed. The analysis of these models allows the specification of a list of gastric diseases for which reflex diagnostics and reflex therapy methods are most effective and also allows increasing the effectiveness of these procedures. It is shown that 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.affiliation: Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan.
authors.forename: Riad
authors.initials: R
authors.lastname: Al-Kasasbeh
authors.forename: Nikolay
authors.initials: N
authors.lastname: Korenevskiy
authors.forename: Mahdi
authors.initials: M
authors.lastname: Alshamasin
authors.forename: Florin
authors.initials: F
authors.lastname: Ionescou
authors.forename: Andrew
authors.initials: A
authors.lastname: Smith
mesh_terms: D015669:Acupuncture Points; D003657:Decision Making; D017143:Fuzzy Logic; D006801:Humans; D013276:Stomach Ulcer / Q000503:physiopathology*