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Updated: Sep 19, 2025

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在机器学习驱动的败血症风险预测中考虑社会人口结构

Katrina E Hauschildt1, Annie Pan1, Taylor Bernstein1

  • 1Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD.

Critical care medicine
|June 9, 2025
PubMed
概括

在人工智能 (AI) 和机器学习 (ML) 模型中报告社会人口统计数据来预测败血症是不够的. 为了公平的AI工具,需要对这些数据和分层绩效评估进行一致的采用.

关键词:
人工智能的人工智能是人工智能.医疗保健中的差异.预测算法 预测算法选择偏差是一种选择偏差.已经有了血症.

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