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Table 1 Experimental results for all experiments C-index (95% confidence interval)

From: DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

Experiment

CPH

DeepSurv

RSF

Simulated Linear

0.779239 (0.777,0.781)

0.778065 (0.776,0.780)

0.757863 (0.756,0.760)

Simulated Nonlinear

0.486728 (0.484,0.489)

0.652434 (0.650, 0.655)

0.626552 (0.624,0.629)

WHAS

0.816025 (0.813, 0.819)

0.866723 (0.863,0.870)

0.892884 (0.890,0.895)

SUPPORT

0.583076 (0.581,0.585)

0.618907 (0.617,0.621)

0.619302 (0.618,0.621)

METABRIC

0.631674 (0.627,0.636)

0.654452 (0.650,0.659)

0.619517 (0.615,0.624)

Simulated Treatment

0.516620 (0.514,0.519)

0.575400 (0.573,0.578)

0.550298 (0.548,0.553)

Rotterdam & GBSG

0.658773 (0.655, 0.662)

0.676349 (0.673,0.679)

0.647924 (0.644, 0.651)

  1. The bold faced numbers signify the best performing algorithm