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可解释机器学习用于医学和医疗保健中的时间到事件预测

Hubert Baniecki1, Bartlomiej Sobieski1, Patryk Szatkowski2

  • 1University of Warsaw, Warsaw, Poland; Warsaw University of Technology, Warsaw, Poland.

Artificial intelligence in medicine
|November 23, 2024
PubMed
概括

本研究介绍了可解释的机器学习方法,用于医疗保健中的时间到事件预测. 这些方法有助于识别人工智能系统中的偏差,并评估癌症生存分析和停留时间预测的特征重要性.

关键词:
可解释的人工智能可以解释性 解释性无线电学 (Radiomics) 是一种辐射学.对生存分析的分析.时间依赖解释 时间依赖解释变量的重要性变量.

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