Title : Prediction and prenosological diagnosis of lung diseases based on energy characteristics of acupuncture points and fuzzy logic
A great number of reflexologies 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 this direction of their profession. During the research, several mathematical models of the internal and biological active points of meridian structures interaction have been proposed. The analysis of these models allowed specifying the lung diseases for which the reflex diagnostics and reflex therapy methods are most effective and increase these procedures' effectiveness. 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 by using fuzzy logic decision-making.