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Table 2 Model accuracy evaluation based on bootstrap resampling method

From: Improve individual treatment by comparing treatment benefits: cancer artificial intelligence survival analysis system for cervical carcinoma

Model

Dataset

Number

C-index

C-index

C-index

Brier-score

Brier-score

Brier-score

12-month

36-month

60-month

12-month

36-month

60-month

Cox

Dataset1

14,946

0.822

0.822

0.822

0.077

0.124

0.133

Dataset2

14,946

0.818

0.818

0.818

0.078

0.124

0.137

Dataset3

14,946

0.819

0.819

0.819

0.075

0.123

0.135

Dataset4

14,946

0.819

0.819

0.819

0.076

0.125

0.138

Dataset5

14,946

0.823

0.823

0.823

0.075

0.122

0.130

AFT

Dataset1

14,946

0.824

0.824

0.824

0.077

0.123

0.131

Dataset2

14,946

0.819

0.819

0.819

0.078

0.124

0.136

Dataset3

14,946

0.821

0.821

0.821

0.076

0.123

0.133

Dataset4

14,946

0.821

0.821

0.821

0.077

0.125

0.136

Dataset5

14,946

0.825

0.825

0.825

0.075

0.122

0.128

MTLR

Dataset1

14,946

0.827

0.830

0.830

0.077

0.133

0.131

Dataset2

14,946

0.822

0.824

0.825

0.078

0.124

0.137

Dataset3

14,946

0.824

0.828

0.829

0.076

0.122

0.134

Dataset4

14,946

0.824

0.826

0.827

0.077

0.125

0.137

Dataset5

14,946

0.828

0.830

0.830

0.075

0.121

0.130

  1. MTLR multi-task logistic regression, AFT accelerated failure time