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. 2023 Jun 15;13:9734. doi: 10.1038/s41598-023-35627-1

Table 3.

Predictive performance of artificial intelligence models for overall survival of patients who received definitive treatment for laryngeal squamous cell carcinoma (n = 1020).

Prediction model Linear slope Linearity-y-intercept C-index
Deep neural network with regression 0.731 ± 0.048 9.659 ± 0.964 0.893 ± 0.017
Cox proportional hazard model 0.619 ± 0.058 24.483 ± 2.407 0.747 ± 0.009
Random survival forest 0.079 ± 0.057 53.250 ± 2.349 0.596 ± 0.015
Deep neural network with multi-classification 1.000 ± 0.047 0.126 ± 0.762 0.859 ± 0.018
Deep neural network with only T/N staging Not available Not available 0.504 ± 0.007