Research Article

Can a Smartphone Diagnose Parkinson Disease? A Deep Neural Network Method and Telediagnosis System Implementation

Table 7

Results of comparative classifiers with SAE on Istanbul Dataset.

Classification accuracy (%)Classifiers
KELMLSVMMSVMRSVMCARTKNNLDANB

SAE 10-8Max93.45100.0099.90100.00100.00100.00100.00100.00
Mean77.7467.8388.0379.9091.5893.4583.9381.97
Min66.6757.0877.2074.2471.7489.2375.9580.31

SAE 10-7Max96.43100.0098.46100.00100.00100.00100.00100.00
Mean80.1867.7388.2480.4891.2593.9983.8882.59
Min63.6956.3476.8074.4772.3189.5976.3779.80

SAE 10-6Max89.29100.0099.81100.00100.00100.00100.0099.90
Mean71.7367.3688.1880.6591.7393.7284.7082.09
Min45.8356.7977.0173.7272.4590.0676.6079.70

SAE 9-8Max90.48100.0097.40100.00100.00100.0099.81100.00
Mean78.2767.9088.6380.5791.5593.9884.3982.29
Min56.5556.8777.1073.9272.2389.8276.3280.27

SAE 9-7Max93.45100.0098.17100.00100.00100.0099.9099.71
Mean80.7767.8588.6779.7691.1994.1784.3581.88
Min65.4856.4576.9874.0472.0790.2176.1179.73

SAE 9-6Max98.81100.0099.71100.00100.00100.00100.00100.00
Mean84.5967.6788.5080.3691.1793.7884.6982.02
Min70.8357.0177.6274.0471.9490.1375.8979.68

SAE 8-8Max93.45100.0099.52100.00100.00100.0099.81100.00
Mean76.6167.9688.4780.0891.1494.1084.2381.89
Min55.9557.2476.7274.2172.2989.3175.7680.40

SAE 8-7Max98.81100.0099.62100.00100.00100.00100.00100.00
Mean84.2368.2787.9280.3491.5694.3584.5582.08
Min70.8357.1277.1773.9572.6189.8776.2679.74

SAE 8-6Max91.07100.0099.42100.00100.00100.00100.00100.00
Mean78.2267.4987.8579.8991.0193.8184.2481.75
Min57.7456.6276.6973.8271.8890.0575.8080.05