Predictive models could provide more accurate detection of early-stage Parkinson's disease

(York University) neuroscientists at York University have found five different models that use these types of non-motor clinical as well as biological variables to more accurately predict early-stage Parkinson's disease.Their five-model analysis is one of the first utilizing only non-motor clinical and biologic variables. Some models performed better than others but all distinguished early stage (preclinical) Parkinson's disease from healthy, age-matched controls, with better than 80 per cent accuracy.
Source: EurekAlert! - Social and Behavioral Science - Category: International Medicine & Public Health Source Type: news