SurvivalEVAL: A Comprehensive Open-Source Python Package for Evaluating Individual Survival Distributions
DOI:
https://doi.org/10.1609/aaaiss.v2i1.27713Keywords:
Survival Analysis, Evaluation Metrics, Open-source Package, Censored DataAbstract
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.Downloads
Published
2024-01-22
Issue
Section
Second Symposium on Survival Prediction: Algorithms, Challenges, and Applications (SPACA)