Unsupervised dense random survival forests identify interpretable patient profiles with heterogeneous treatment benefit

Fuente: arXiv

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Bibliographic Details
Main Authors:	Li, Xingyu, Liu, Qing, Jiang, Tony, Xia, Hong Amy, Wei, Peng, Hobbs, Brian P.
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2601.01380