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Updated: Jun 22, 2025

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机器学习算法中的社会人口学偏差:从生物医学信息学的角度来看

Gillian Franklin1,2, Rachel Stephens1, Muhammad Piracha1

  • 1Department of Biomedical Informatics, University at Buffalo, Buffalo, NY 14203, USA.

Life (Basel, Switzerland)
|June 27, 2024
PubMed
概括

医疗风险评估中的机器学习模型可以延续与种族,性别和社会经济地位相关的偏见,导致健康差异. 解决这些算法和数据偏差对于公平的医疗决策至关重要.

关键词:
算法算法是一种算法.人工智能的人工智能是人工智能.偏见 偏见 偏见 偏见 偏见生物医学信息学 生物医学信息学电子健康记录是电子健康记录.医疗保健 医疗保健 医疗保健机器学习是机器学习.模型 模型 模型 模型社会和人口统计学.

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