Automatic Surgery and Anesthesia Emergence Duration Prediction Using Artificial Neural Networks

Table 17

Loss value of the anesthesia emergence duration prediction system.

Layers-neurons	Testing dataset				Training dataset				Validation dataset
	Mean	Std	Max	Min	Mean	Std	Max	Min	Mean	Std	Max	Min
3-64	0.6935	0.0033	0.6985	0.6887	0.6811	0.0038	0.6857	0.6758	0.6917	0.0032	0.6967	0.6852
3-128	0.6751	0.0018	0.6777	0.6726	0.6625	0.0023	0.6669	0.6598	0.6740	0.0020	0.6775	0.6714
3-256	0.6633	0.0021	0.6658	0.6593	0.6514	0.0016	0.6546	0.6495	0.6627	0.0021	0.6662	0.6590
3-512	0.6632	0.0037	0.6670	0.6554	0.6502	0.0037	0.6539	0.6435	0.6623	0.0033	0.6660	0.6561
4-64	0.6835	0.0027	0.6887	0.6801	0.6707	0.0022	0.6749	0.6676	0.6823	0.0023	0.6868	0.6792
4-128	0.6636	0.0041	0.6682	0.6573	0.6509	0.0039	0.6566	0.6448	0.6631	0.0038	0.6695	0.6584
4-256	0.6520	0.0037	0.6566	0.6450	0.6395	0.0033	0.6438	0.6337	0.6518	0.0038	0.6589	0.6459
4-512	0.6547	0.0045	0.6641	0.6501	0.6405	0.0042	0.6477	0.6355	0.6529	0.0043	0.6615	0.6481
5-64	0.6776	0.0037	0.6833	0.6721	0.6635	0.0037	0.6705	0.6588	0.6756	0.0045	0.6834	0.6695
5-128	0.6571	0.0049	0.6637	0.6490	0.6440	0.0052	0.6520	0.6350	0.6569	0.0050	0.6628	0.6482
5-256	0.6503	0.0040	0.6567	0.6450	0.6370	0.0037	0.6428	0.6319	0.6499	0.0042	0.6578	0.6449
5-512	0.6597	0.0061	0.6740	0.6525	0.6456	0.0056	0.6589	0.6393	0.6588	0.0052	0.6713	0.6526
6-64	0.6775	0.0041	0.6859	0.6717	0.6633	0.0040	0.6725	0.6590	0.6758	0.0038	0.6841	0.6703
6-128	0.6616	0.0035	0.6676	0.6550	0.6466	0.0034	0.6535	0.6409	0.6605	0.0034	0.6673	0.6548
6-256	0.6624	0.0069	0.6720	0.6514	0.6476	0.0067	0.6566	0.6376	0.6622	0.0068	0.6721	0.6508
6-512	0.6718	0.0043	0.6777	0.6646	0.6572	0.0044	0.6642	0.6503	0.6704	0.0040	0.6751	0.6629