Research Article

Automatic Surgery and Anesthesia Emergence Duration Prediction Using Artificial Neural Networks

Table 16

Prediction accuracy of the anesthesia emergence duration prediction system.

Layers-neuronsTesting datasetTraining datasetValidation dataset
MeanStdMaxMinMeanStdMaxMinMeanStdMaxMin

3-640.61680.01370.63670.59580.66850.01560.69050.64920.62430.01330.65090.6039
3-1280.69100.00690.70130.68120.74190.00930.75290.72400.69530.00810.70600.6816
3-2560.73870.00850.75450.72820.78690.00620.79410.77430.74110.00830.75570.7266
3-5120.73910.01480.77050.72410.79130.01500.81830.77580.74250.01320.76740.7266
4-640.65780.01120.67290.63720.70930.00910.72150.69210.66210.00970.67490.6437
4-1280.73700.01630.76190.71800.78850.01580.81350.76520.73930.01570.75940.7124
4-2560.78360.01520.81310.76500.83420.01320.85810.81780.78470.01570.80910.7558
4-5120.77310.01810.79150.73590.83010.01670.85020.80160.78010.01770.80030.7451
5-640.68090.01530.70400.65700.73770.01500.75680.70950.68890.01870.71400.6558
5-1280.76320.02010.79650.73650.81620.02070.85240.78410.76430.02010.79930.7411
5-2560.79050.01580.81140.76510.84430.01510.86530.82060.79240.01670.81170.7599
5-5120.75310.02460.78280.69560.80960.02270.83540.75610.75690.02110.78150.7060
6-640.68120.01660.70530.64770.73890.01610.75610.70230.68830.01550.70940.6537
6-1280.74540.01430.77300.72100.80570.01390.82890.77800.74990.01410.77320.7225
6-2560.74200.02820.78660.70300.80140.02720.84190.76490.74290.02750.78920.7029
6-5120.70440.01700.73290.68120.76300.01780.79100.73510.71010.01600.74110.6905