DIAGNOSIS OF EARLY STAGES OF ATTENTION DISORDERS BASED ON HYBRID FUZZY DECISION RULES

UDC 615.47
DOI:10.26102/2310-6018/2019.27.4.031

A.V. Polyakov, S.N. Rodionova, N.L. Korzhuk, L.V. Starodubtseva


The work is devoted to improving the quality of differential diagnosis of early stages of cognitive impairment in terms of fuzzy description of the studied classes of States.To assess the functions of attention, a device developed at the Department of biomedical engineering of SUSU is used to determine such properties of attention as concentration, volume, selectivity, switchability, distributability and stability. As a mathematical apparatus is used, the hybrid methodology for the synthesis of fuzzy decision rules. The basic element of which is the function of belonging to the studied classes of States (norm, mild cognitive impairment, moderate cognitive impairment, initial clinical stage) with a basic variable determined by the scales of the selected properties of attention.The decision on classification is made by the maximum value of the analyzed membership functions.The obtained mathematical models allow to diagnose the early stages of violations of all the studied functions of attention. Expert confidence in the obtained mathematical models exceeds 0.8. If, together with the level of attention, additional indicators characterizing the functional reserve, levels of psycho-emotional stress and fatigue and energy imbalance of the Meridian structures of the body are used, confidence in the correct classification of the early stages of attention disorders reaches a value of 0.9, which allows us to recommend the results in practical psychology and medicine.

Keywords: the early stage of cognitive impairment of attention, and hybrid decision rules, membership functions, confidence in the correct classification.

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