Neutrosophic method for the evaluation of diagnostic criteria for Parkinson's disease

Abstract

Parkinson's disease is a recognizable clinical syndrome with a variety of causes and clinical presentations. It represents a rapidly growing neurodegenerative condition. Its important symptoms are tremor at rest, rigidity, constipation, Parkinsonian gait, distal lower limb blockage and mood swings, memory impairment, accompanied by dissociation of body coordination, neuromotor dissociation when trying to perform various activities. The present research aims to develop a method for the evaluation of diagnostic criteria for Parkinson's disease. The method bases its operation on neutrosophic numbers to model uncertainty. The result is a method that allows the evaluation through the clinical manifestations of Parkinson's disease in order to have a better understanding and achieve a correct management due to the high prevalence of confirmed cases of patients positive for Parkinson's disease globally.