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Survival analysis with PyTorch

Project description

pycox is a python package for survival analysis and time-to-event prediction with PyTorch. It is built on the torchtuples package for training PyTorch models.

Read the documentation at:

The package contains

  • survival models: (Logistic-Hazard, DeepHit, DeepSurv, Cox-Time, MTLR, etc.)
  • evaluation criteria (concordance, Brier score, Binomial log-likelihood, etc.)
  • event-time datasets (SUPPORT, METABRIC, KKBox, etc)
  • simulation studies
  • illustrative examples

Project details

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