Assessment of the Severity of Pyelonephritis by the Energy Imbalance of Biologically Active Points
Puprose of research is to study the diagnostic capabilities of biologically active points "associated" with the kidneys in the task of assessing the severity of pyelonephritis. Methods. The paper investigates the diagnostic capabilities of biologically active points to solve the urgent problem of urology to assess the severity of pyelonephritis. This is due to the fact that biologically active points change their energy characteristics in the absence of clinical manifestations of the disease and have a high sensitivity to changes in the condition of patients. During the conducted exploratory analysis it was found that the severity of such a disease as pyelonephritis does not have a clear description in the relevant medical literature, which served as the basis for the choice of the main mathematical apparatus in the form of fuzzy logic of decision-making in relation to reflexology. Results. Taking into account the General recommendations for the synthesis of fuzzy rules for decision-making on energy characteristics (BAT), four informative points were selected: V53, V54, V22 and V23 - for which the functions of belonging to the linguistic variable severity of pyelonephritis were constructed. As a base variable for these functions, the relative deviations of the informative BAHT resistances from their nominal values were used. Aggregation of membership functions was carried out using a hybrid modification of the accumulation function of E. Shortliff. As a result of mathematical modeling and expert evaluation, it was found that the confidence in the correct assessment of the severity of pyelonephritis from the obtained model is 0.45. In the course of the studies it was shown that only by the reaction of biologically active points, the confidence that the severity of pyelonephritis is estimated reliably enough is 0.45. However, if in addition to the energy reaction of biologically active points to investigate lipid peroxidation and antioxidant activity, confidence in the correct classification increases to 0.97, which is a good practical result.