An artificial neural network approach to detect presence and severity of Parkinson's disease via gait parameters.

The ANN approach enabled automated diagnosis of gait deficits in several symptomatic stages of Parkinson's disease. These results will inspire future studies to test the utility of gait classifiers for the evaluation of treatments that could modify disease progression.