Automatic Surgery and Anesthesia Emergence Duration Prediction Using Artificial Neural Networks

Table 25

Loss value of the anesthesia emergence duration prediction system with dropout mechanism.

Architecture	Dropout	Testing dataset				Training dataset				Validation dataset
		Mean	Std	Max	Min	Mean	Std	Max	Min	Mean	Std	Max	Min
4-256	Without	0.6520	0.0037	0.6566	0.6450	0.6395	0.0033	0.6438	0.6337	0.6518	0.0038	0.6589	0.6459
	0.1	0.6620	0.0028	0.6665	0.6574	0.6465	0.0033	0.6520	0.6398	0.6614	0.0036	0.6686	0.6543
	0.2	0.6832	0.0022	0.6860	0.6785	0.6680	0.0019	0.6706	0.6645	0.6807	0.0011	0.6826	0.6788
	0.3	0.6955	0.0026	0.6996	0.6911	0.6833	0.0028	0.6883	0.6789	0.6930	0.0021	0.6961	0.6899