Table 3.

The Performance of the ANN Model and Scoring Systems in Diagnosing LC in the Training Set and Validation Set

Scoring Systems	Training Set			Validation Set
	AUC	95% CI	P value	AUC	95% CI	P value
CP score	0.532	0.493–0.571	0.103	0.538	0.470–0.605	0.269
MELD score	0.594	0.556–0.631	< 0.001	0.544	0.477–0.612	0.197
ALBI score	0.575	0.536–0.613	< 0.001	0.512	0.445–0.579	0.723
APRI score	0.621	0.584–0.658	< 0.001	0.603	0.537–0.668	0.003
FIB-4 score	0.644	0.608–0.681	< 0.001	0.582	0.516–0.648	0.017
AAR score	0.491	0.452–0.530	0.638	0.470	0.403–0.537	0.384
GPR score	0.604	0.567–0.642	< 0.001	0.623	0.559–0.688	< 0.001
ANN model	0.757	0.726–0.788	< 0.001	0.767	0.713–0.820	< 0.001

Abbreviations: ANN, artificial neural network; LC, liver cirrhosis; CP, Child-Pugh; MELD, model for end-stage liver disease; ALBI, albumin-bilirubin; APRI, aspartate aminotransferase to platelet ratio index; FIB-4, fibrosis index based on the 4 factor; AAR, aspartate aminotransferase to alanine aminotransferase ratio; GPR, gamma-glutamyl transpeptidase to platelet ratio.