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将可计算的结构化表型与大型语言模型进行比较,使用电子健康记录数据识别阿片类药物使用障碍

Melanie Molina1,2, Cynthia Fenton2, Kathy T LeSaint1

  • 1Department of Emergency Medicine, University of California, San Francisco, California, USA.

medRxiv : the preprint server for health sciences
|December 25, 2025
PubMed
概括

一个大型语言模型 (LLM) 显示了在急诊室识别阿片类药物使用障碍 (OUD) 的前景,在特异性方面表现优于传统方法,同时保持对OUD查的高灵敏度.

关键词:
电子健康记录数据 电子健康记录数据大型语言模型."阿片类药物使用障碍"

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