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Jul, 2023
灵活的事件时间模型:通过秩回归优化神经网络
Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank Regression
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Hyunjun Lee, Junhyun Lee, Taehwa Choi, Jaewoo Kang, Sangbum Choi
TL;DR
该研究介绍了一种基于Deep AFT Rank-regression模型的时间到事件预测方法,该模型使用基于Gehan排名统计量的目标函数,是AFT建模的半参数方法,并无需对存活时间分布进行分布假设。
Abstract
time-to-event analysis
, also known as survival analysis, aims to predict the time of occurrence of an event, given a set of features. One of the major challenges in this area is dealing with
censored data
, which
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