Title: Application of fuzzy analysis with the energy condition of bioactive points to the prediction and diagnosis of gastrointestinal tract diseases

Authors: Riad Taha Al-Kasasbeh; Nikolay A. Korenevskiy; Florin Ionescu; Mahdi Alshamasin; Andrew P. Smith; Abdullah Alwadie; Samir Aljbour

Addresses: Faculty of Engineering Technology, Al-balqa Applied University, Amman 11937, P. O. Box 541324, Jordan ' Faculty of Biomedical Engineering, Southwest State Technical University, 94, 50 let Oktyabrya, Kursk, 305040, Russia ' Steinbeis-Transfer-Institute Dynamic Systems, Steinbeis University Berlin, Gürtelstraße 29a/30, 10247 Berlin, Germany ' Department of Mechatronics, Faculty of Engineering Technology, Al-balqa Applied University, Amman 11937, P.O. Box 541324, Jordan ' Faculty of Computer Science, University of Applied Sciences (HTWG), Konstanz, Germany ' Electrical Engineering Department, Faculty of Engineering, Najran University, P.O. Box 494, Najran 36008, Saudi Arabia ' Al-Ghad International Medical Sciences Colleges, Saudi Arabia

Abstract: For many diseases, new methods and models for their prediction, diagnosis and analysis are sought. We apply mathematical models for the interaction of the internal and biologically active points of meridian structures and can thereby specify diseases for which reflex diagnostics and reflex therapy methods are the most effective; amongst these are diseases of the gastrointestinal tract. The use of fuzzy logic decision-making yields good results for the prediction and early diagnosis of such diseases, depending on the reaction energy of biologically active points (acupuncture points).

Keywords: acupuncture points; fuzzy logic; DIP; diagnostically important points; confidence factors; membership functions; gastrointestinal tract diseases; disease prediction; disease diagnosis; mathematical modelling.

DOI: 10.1504/IJBET.2013.055033

International Journal of Biomedical Engineering and Technology, 2013 Vol.11 No.2, pp.136 - 154

Received: 17 Sep 2012
Accepted: 11 Oct 2012
Published online: 27 Sep 2014 *

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