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Table 4 Performance comparison of the DXLR model with removal of network feature separately

From: Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning

Method

Metric [Mean ± SD]

Precision

Recall

Accuracy

F1 score

AUC

DXLR

0.723 ± 0.014

0.892 ± 0.012

0.857 ± 0.007

0.798 ± 0.010

0.934 ± 0.004

 −Node

0.699 ± 0.014

0.905 ± 0.010

0.846 ± 0.006

0.788 ± 0.009

0.927 ± 0.004

 −Edge

0.681 ± 0.013

0.907 ± 0.012

0.836 ± 0.006

0.778 ± 0.009

0.923 ± 0.004

 −Rank

0.492 ± 0.015

0.663 ± 0.019

0.676 ± 0.010

0.565 ± 0.012

0.737 ± 0.010

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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