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Table 3 Results of center2 data using the proposed algorithm compared with Cox’s model using AIC, BIC, Lasso, and SCAD

From: Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention

Algorithm used

Number of features

p-value (Logrank)

CI(SE)

Uno’s AUC

Sensitivity

Proposed Algorithm

7

0.022

0.63 (0.0739)

0.612

0.73

AIC Algorithm

14

0.034

0.61 (0.0725)

0.60

0.35

BIC Algorithm

14

0.029

0.63 (0.0685)

0.605

0.23

Lasso Algorithm

7

0.0068

0.615 (0.0864)

0.627

0.5

SCAD Algorithm

3

0.2759

0.592 (0.0658)

0.58

0.6923