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. 2022 Apr 11;54(10):2733–2744. doi: 10.1007/s11255-022-03165-w

Table 2.

Variable importance for detecting renal impairment

Rank Logistic regression (defiance difference) Random forest
(mean decrease Gini)
Deep learning
(relative importance)
1 Age (−4789) Age (1587.1) Age (0.173)
2 Heart rate (−854) T wave axis (1411.1) QT interval (0.141)
3 T-wave axis (−366) R wave axis (1216.6) Heart rate (0.134)
4 QT interval (−286) P wave axis (1211.1) T wave axis (0.104)
5 PR interval (−109) QT interval (1192.7) P wave axis (0.097)
6 P wave axis (−7) PR interval (1136.5) QRS duration (0.094)
7 QRS duration (−5) QRS duration (1093.1) PR interval (0.093)
8 R wave axis (−4) Heart rate (1068.8) Sex (0.088)
9 Sex (−2) Sex (147.1) R wave axis (0.075)