Table 1 Comparison of different model performances for baseline models and HinSAGE.

From: Heterogeneous graph construction and HinSAGE learning from electronic medical records

 

AUROC (95% CI)

AUPRC (95% CI)

RF

0.67 [0.63, 0.70]

0.11 [0.09, 0.12]

ANN

0.64 [0.60, 0.68]

0.11 [0.09, 0.12]

HinSAGE

0.72 [0.71, 0.74]

0.15 [0.14, 0.16]

LR

0.71 [0.67, 0.74]

0.13 [0.12, 0.15]