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Table 3 AUROC mean ± std on sepsis and mortality prediction

From: An interpretable risk prediction model for healthcare with pattern attention

 

Sepsis prediction

Mortality prediction

10 h

8 h

6 h

4 h

10 h

8 h

6 h

4 h

LR

.713 ± .017

.739 ± .013

.744 ± .017

.753 ± .018

.803 ± .014

.820 ± .017

.843 ± .014

.866 ± .017

RF

.726 ± .014

.741 ± .016

.759 ± .019

.762 ± .016

.813 ± .016

.829 ± .020

.856 ± .016

.873 ± .017

SVM

.701 ± .021

.754 ± .019

.761 ± .021

.763 ± .018

.802 ± .021

.835 ± .015

.853 ± .020

.863 ± .018

GRU

.748 ± .011

.761 ± .009

.766 ± .008

.767 ± .009

.836 ± .011

.842 ± .009

.861 ± .010

.882 ± .010

LSTM

.750 ± .011

.763 ± .010

.767 ± .011

.770 ± .011

.857 ± .009

.862 ± .011

.873 ± .009

.884 ± .011

RETAIN

.741 ± .011

.756 ± .009

.758 ± .008

.759 ± .008

.848 ± .007

.860 ± .008

.875 ± .009

.895 ± .008

IFM

.746 ± .009

.760 ± .010

.763 ± .009

.765 ± .009

.866 ± .007

.873 ± .008

.882 ± .008

.892 ± .007

\({\text {PAVE}}^{-V}\)

.754 ± .006

.768 ± .005

.769 ± .005

.770 ± .006

.886 ± .006

.886 ± .005

.897 ± .005

.915 ± .006

\({\text {PAVE}}^{-T}\)

.756 ± .007

.770 ± .006

.770 ± .006

.774 ± .006

.889 ± .008

.892 ± .008

.903 ± .008

.918 ± .007

PAVE

.763 ± .005

.773 ± .006

.778 ± .004

.780 ± .004

.897 ± .005

.904 ± .004

.913 ± .005

.922 ± .005