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使用现实世界数据的预测模型来识别患有过敏氨基酸性综合征的患者

Paneez Khoury1, Yen Chung2, Donna Carstens2

  • 1National Institute of Allergy and Infectious Diseases, Bethesda, Md.

The journal of allergy and clinical immunology. Global
|November 28, 2025
PubMed
概括

一个新的机器学习模型在真实世界的数据中准确地预测过敏氨酸性综合征 (HES). 这表明,在一般人群中,HES的实际患病率可能被严重低估.

关键词:
过高氨基酸性综合征是什么机器学习是机器学习.预测模型 预测模型患病率的流行情况.

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