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 |