BriefGPT.xyz
Feb, 2020
生存聚类分析
Survival Cluster Analysis
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Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao
TL;DR
本文介绍了一种基于贝叶斯非参数的方法,用于识别具有不同风险特征的子种群,并通过在群体层面上利用规律来优化个体预测的时间,进而提高预测性能和可解释性。
Abstract
Conventional
survival analysis
approaches estimate risk scores or individualized time-to-event distributions conditioned on covariates. In practice, there is often great population-level
phenotypic heterogeneity
,
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