Literature DB >> 22292589

Prediction of gastric ulcers based on the change in electrical resistance of acupuncture points using fuzzy logic decision-making.

Riad Al-Kasasbeh1, Nikolay Korenevskiy, Mahdi Alshamasin, Florin Ionescou, Andrew Smith.   

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.

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Year:  2012        PMID: 22292589     DOI: 10.1080/10255842.2011.618926

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  3 in total

Review 1.  Application Status and Prospects of Artificial Intelligence in Peptic Ulcers.

Authors:  Peng-Yue Zhao; Ke Han; Ren-Qi Yao; Chao Ren; Xiao-Hui Du
Journal:  Front Surg       Date:  2022-06-16

2.  The Use of Artificial Intelligence in Complementary and Alternative Medicine: A Systematic Scoping Review.

Authors:  Hongmin Chu; Seunghwan Moon; Jeongsu Park; Seongjun Bak; Youme Ko; Bo-Young Youn
Journal:  Front Pharmacol       Date:  2022-04-01       Impact factor: 5.988

3.  Developing a clinical decision support system based on the fuzzy logic and decision tree to predict colorectal cancer.

Authors:  Raoof Nopour; Mostafa Shanbehzadeh; Hadi Kazemi-Arpanahi
Journal:  Med J Islam Repub Iran       Date:  2021-04-03
  3 in total

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