SurvivalEVAL: A Comprehensive Open-Source Python Package for Evaluating Individual Survival Distributions

Authors

  • Shi-ang Qi University of Alberta
  • Weijie Sun University of Alberta
  • Russell Greiner University of Alberta

DOI:

https://doi.org/10.1609/aaaiss.v2i1.27713

Keywords:

Survival Analysis, Evaluation Metrics, Open-source Package, Censored Data

Abstract

Survival analysis is widely employed across medicine, business, and the social sciences. However, the absence of a unified and standardized software solution for evaluating survival analysis models impedes its broader application by researchers. In this research, we fill this gap by providing a comprehensive Python package, SurvivalEVAL, which implements seven evaluation metrics specific to survival analysis. The SurvivalEVAL package is designed to serve as a convenient and straightforward toolkit for individual survival distribution models. The package is publicly available on GitHub at https://github.com/shi-ang/SurvivalEVAL.

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Published

2024-01-22

Issue

Section

Second Symposium on Survival Prediction: Algorithms, Challenges, and Applications (SPACA)