Моделювання процесу діагностування посттравматичного стресового розладу засобами нечіткої логіки

Abstract

A developed model for diagnosing post-traumatic stress disorder is presented, based on the theory of fuzzy logic. The model takes into account the key clusters of PTSD symptoms according to DSM-5 and allows assessing the likelihood of this disorder by integrating qualitative and quantitative characteristics of clinical manifestations using linguistic variables and membership functions.