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Table 3 Variable importance for detecting sepsis

From: Deep-learning model for screening sepsis using electrocardiography

Rank

Logistic regression (deviance difference)

Random forest (mean decrease Gini)

Deep learning (relative importance)

1

QTc (492)

Heart rate (473.2)

QTc (0.193)

2

Age (274)

T-wave axis (472.1)

QT interval (0.168)

3

QRS duration (207)

R-wave axis (443.2)

PR interval (0.121)

4

T-wave axis (145

QTc (429.5)

T-wave axis (0.085)

5

QT interval (101)

P-wave axis (413.3)

QRS duration (0.082)

6

Heart rate (63)

Age (394.5)

Age (0.079)

7

P-wave axis (18)

QRS duration (386.2)

Heart rate (0.078)

8

R-wave axis (11)

QT interval (367.0)

P-wave axis (0.075)

9

PR interval (2)

PR interval (363.0)

R-wave axis (0.063)

10

Sex (− 1)

Sex (0.1)

Sex (0.055)