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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