Research Article

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

Table 4

Results of comparative classifiers with SAE on Oxford Dataset.

Classification accuracy (%)Classifiers
KELMLSVMMSVMRSVMCARTKNNLDANB

SAE 10-8Max93.4599.9999.9099.9099.90100.0099.6999.19
Mean77.7495.8994.4796.3296.0497.8195.1794.29
Min66.6793.6689.2393.4393.8193.2392.8593.73

SAE 10-7Max96.43100.0098.46100.00100.00100.0099.6099.58
Mean80.1896.2095.7696.5896.8297.6396.1695.22
Min63.6994.1393.4693.5294.5394.5293.0193.61

SAE 10-6Max89.29100.0099.8199.99100.00100.0099.7399.15
Mean71.7396.2694.7496.5196.4396.9794.5995.18
Min45.8393.7489.1393.5194.6493.2291.3793.62

SAE 9-8Max90.48100.0097.40100.0099.99100.0099.7099.71
Mean78.2795.8795.0496.8796.8797.8996.0895.12
Min56.5592.3689.0493.9994.2492.7092.7193.54

SAE 9-7Max93.45100.0098.17100.00100.00100.0099.7498.74
Mean80.7796.2393.8897.7596.8297.1397.0195.82
Min65.4894.2289.0493.5994.4993.1493.2893.93

SAE 9-6Max98.81100.0099.71100.00100.00100.0099.6699.36
Mean84.5996.2295.6396.4696.0198.0194.0395.51
Min70.8393.3190.5894.1694.3093.2693.5593.94

SAE 8-8Max93.45100.0099.5299.99100.00100.0099.5899.51
Mean76.6196.0295.3995.6496.2296.9895.4594.32
Min55.9594.1992.2193.3794.3692.7593.7592.25

SAE 8-7Max98.81100.0099.62100.00100.00100.0099.7699.79
Mean84.2396.7195.4896.8296.2396.6395.6997.07
Min70.8394.4092.2193.9294.5794.1092.9994.14

SAE 8-6Max91.07100.0099.4299.9999.99100.0099.7899.37
Mean78.2296.0194.5296.2195.9196.9295.5795.98
Min57.7493.3790.8793.5992.5393.4293.4492.49