Застосування нечіткої логіки та експертних систем для діагностування посттравматичного стресового розладу

Abstract

The relevance of post-traumatic stress disorder diagnosis and ways of its automation are considered. The methodology of applying various methods to solve this problem is analyzed. An information technology based on the integration of fuzzy logic and expert systems is proposed. The presented method allows taking into account the uncertainty of input data and ensuring the objectivity of diagnosis. The development has significant potential for improving the quality and accessibility of assistance to the population.