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在临床自然语言处理中利用大型语言模型进行无知识的弱监督

Enshuo Hsu1,2,3, Kirk Roberts4

  • 1McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.

Scientific reports
|March 11, 2025
PubMed
概括

这项研究引入了一种新的临床自然语言处理方法,使用大语言模型 (LLM) 来生成弱标记的数据,以最小的黄金标准数据显著提高性能.

关键词:
电子健康记录是电子健康记录.大型语言模型.自然语言处理自然语言处理.监督的弱点 监督的弱点

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