Artificial Neural Network in prediction of Parkinson’s Disease

Abstract

Parkinson’s disease is one of the most common neurodegenerative disease, which mainly affects motor functions of patients. In most of the cases due to lack of early detection and progression monitoring, the patients don’t get early therapeutics to reduce or delay the disease progression. To overcome these problems the ANN has been proposed here to consider all the parameters (motor as well as non-motor) and predict the possibility.  The accuracy of this system is 99.92% and therefore holds a promise for prognosis and diagnosis of Parkinson’s disease