A Novel Decision Support System for the Prognosis of Parkinson Disease

In this paper, Decision Support System using fuzzy logic is designed to track the progression of Parkinson disease (PD). As fuzzy logic can help people make decisions in situations when information is imprecise, incomplete or uncertain, it is widely used. In this proposed system, risk percentage of getting the disease for the unaffected subject (person), stage of the disease (Not having, Mild, Moderate and Advanced) for the given subject, and progressiveness of disease from one stage to another stage are reported. The system includes risk factor analysis to find the risk percentage of getting the disease and progression evaluation to determine the progressiveness and its nature (rapid, benign). With the inclusion of risk factor analysis in the proposed system, it is discovered that the progressiveness of the disease is known with an accuracy of 82.5%