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Updated: Sep 12, 2025

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人工智能偏见和健康方面的混风险 机器学习分类任务的特征工程

Ruihua Guo1, Angus Ritchie2, Ross Smith1

  • 1School of Computer Science, The University of Sydney, NSW, Australia 2008.

Studies in health technology and informatics
|August 8, 2025
PubMed
概括

医疗保健中的机器学习面临偏见挑战. 这项研究发现,怀孕状态显著影响了心血管再接收预测模型,突出了倾向性得分匹配的必要性,以解决隐藏的混因素.

关键词:
人工智能有偏见的偏见分类 分类 分类 分类.混偏见是一种混的偏见.功能工程 功能工程机器学习 机器学习质量控制 质量控制 质量控制再接收风险预测和预测

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