Establish and validate an artificial neural networks model used for predicting portal vein thrombosis risk in hepatitis B-related cirrhosis patients

Table 4 Comparison of performance and discriminative ability among the current model and other models, 95%CI

Cohort	Models	3-year risk of PVT			5-year risk of PVT
		AUROC	C-index	P value	AUROC	C-index	P value
Training cohort	ANN	0.967 (0.960-0.974)	0.954		0.975 (0.955–0.992)	0.958
	CTP	0.593 (0.568-0.618)	0.591	< 0.001	0.602 (0.579-0.625)	0.592	< 0.001
	MELD	0.530 (0.550-0.560)	0.535	< 0.001	0.555 (0.528-0.581)	0.544	< 0.001
Validation cohort	ANN	0.958 (0.944–0.973)	0.941		0.973 (0.958–0.987)
	CTP	0.541 (0.497-0.585)	0.552	< 0.001	0.547 (0.508-0.585)	0.541	< 0.001
	MELD	0.539 (0.492-0.586)	0.544	< 0.001	0.553 (0.512-0.594)	0.546	< 0.001

PVT: Portal vein thrombosis; AUROC: Area under the receiver operating characteristic curve; CTP: Child-Pugh-Turcotte; MELD: Model for end-stage liver disease; ANN: Artificial neural network.