Table 5.

The accuracy measure of different models for CVD and CPD without the consideration of edge weight in the patient network.

Features	Method	Accuracy for CVD (%)	Accuracy for CPD (%)
With network features (i.e., degree centrality, eigenvector centrality etc.)	LR	76.63	69.34
	SVM	79.89	66.51
	RF	86.59	79.25
	ANN	83.91	73.11
	GCN	87.26	85.85
	GAT	89.15	88.21
Without network features	GCN	89.08	83.02
	GAT	93.49	89.15