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Table 2 The CI values obtained by different methods on breast cancer datasets

From: An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome

Dataset

IPF-lasso

EXSA

Deep-surv

DCAP

MTC

UISNet

BRCA

0.629

(± 0.038)

0.637

(± 0.077)

0.664

(± 0.047)

0.671

(± 0.065)

0.678

(± 0.037)

0.694

(± 0.043)

GSE2990

0.545

(± 0.089)

0.570

(± 0.089)

0.563

(± 0.074)

0.577

(± 0.059)

0.596

(± 0.091)

0.596

(± 0.043)

GSE9195

0.657

(± 0.239)

0.695

(± 0.203)

0.701

(± 0.214)

0.712

(± 0.211)

0.755

(± 0.052)

0.753

(± 0.112)

GSE11121

0.641

(± 0.102)

0.669

(± 0.092)

0.680

(± 0.063)

0.681

(± 0.116)

0.695

(± 0.094)

0.727

(± 0.074)

GSE17705

0.633

(± 0.099)

0.626

(± 0.070)

0.659

(± 0.061)

0.670

(± 0.067)

0.682

(± 0.081)

0.687

(± 0.073)

GSE19615

0.640

(± 0.059)

0.649

(± 0.085)

0.674

(± 0.078)

0.688

(± 0.067)

0.711

(± 0.041)

0.703

(± 0.048)

GSE25066

0.623

(± 0.130)

0.651

(± 0.051)

0.663

(± 0.108)

0.681

(± 0.064)

0.672

(± 0.056)

0.706

(± 0.044)

BRCA_all

0.588

(± 0.107)

0.610

(± 0.049)

0.622

(± 0.044)

0.640

(± 0.065)

0.642

(± 0.041)

0.660

(± 0.031)

Average

0.619

0.638

0.653

0.665

0.677

0.691

P-value a

5.49E-7

3.69E-7

9.5E-7

9.2E-5

0.039

-

  1. a The t-tests by comparisons with UISNet