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Updated: Jun 9, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
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在EHR数据中概念化偏差:对于儿科肥胖发病率分类器的人口亚组表现差异的案例研究

Elizabeth A Campbell1,2,3, Saurav Bose1,4, Aaron J Masino1,5,6

  • 1Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.

PLOS digital health
|October 23, 2024
PubMed
概括

机器学习模型使用电子健康记录 (EHR) 预测儿童肥胖症,在少数群体子组中表现更好. 这突显了人工智能在医疗保健中的复杂偏见.

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