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Table 3 Performance comparison of survival prediction models using clinical features

From: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients

Clinical model

MAE (days)

C-index

Classification accuracy of 2-year survival status

Classification accuracy of 5-year survival status

CPH

583 ± 37

0.747 ± 0.01

0.610 ± 0.05

0.868 ± 0.02

MLP {32 × 32}

506 ± 66

0.744 ± 0.01

0.731 ± 0.03

0.894 ± 0.03

MLP {64 × 64}

463 ± 81

0.745 ± 0.01

0.740 ± 0.02

0.913 ± 0.03

MLP {128 × 128}

500 ± 74

0.747 ± 0.01

0.730 ± 0.02

0.902 ± 0.03

  1. The best score in each column is highlighted in bold
  2. MAE Mean absolute error; C-index Harrell’s concordance index; CPH Cox proportional hazards; MLP multilayer perceptron