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Aug, 2022
FastCPH：神经网络高效生存分析
FastCPH: Efficient Survival Analysis for Neural Networks
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Xuelin Yang, Louis Abraham, Sejin Kim, Petr Smirnov, Feng Ruan...
TL;DR
本文提出了FastCPH方法，将Cox比例风险模型推广到神经网络，支持标准的Breslow和Efron方法，效率更高且性能优于现有的CoxPH方法。
Abstract
The
cox proportional hazards model
is a canonical method in
survival analysis
for prediction of the life expectancy of a patient given clinical or genetic covariates -- it is a linear model in its original form.
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