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在预测电子健康记录数据完整性时,尽量减少种族算法偏见

Priyanka Anand1, Yinzhu Jin1, Jun Liu1

  • 1Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Clinical pharmacology and therapeutics
|July 23, 2025
PubMed
概括

改善电子健康记录 (EHR) 连续性算法对不同人群至关重要. 优化种族建模策略减少了对种族少数群体的EHR连续性预测中的算法偏差.

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