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Updated: Jun 23, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Published on: October 23, 2020

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对概率神经网络进行有效的训练,以进行生存分析

Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen

    IEEE journal of biomedical and health informatics
    |June 21, 2024
    PubMed
    概括

    诸如蒙特卡罗脱落 (MCD) 和光谱正常化神经高斯过程 (SNGP) 等替代方法在深度概率生存模型中提供了高效的不确定性估计,在不增加复杂性的情况下匹配变量推理 (VI) 性能.

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