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Table 2 Results of center1 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)

Sensitivity

Proposed Algorithm

7

<0.00001

0.74 (0.0439)

0.76

AIC Algorithm

14

<0.00001

0.79 (0.0408)

0.69

BIC Algorithm

14

<0.00001

0.76 (0.0465)

0.38

Lasso Algorithm

7

<0.00001

0.7382 (0.0426)

0.714

SCAD Algorithm

3

0.0078

0.6271 (0.0518)

0.643

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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