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Updated: Jan 9, 2026

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基于LLM的临床命名实体识别的基于跨度的注释框架:使用韩国紧急部门的笔记开发和验证

Eun Hye Jang1,2, Javier Aguirre2, Sangji Lee1,2

  • 1Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, 06355, Korea.

JAMIA open
|December 1, 2025
PubMed
概括

这项研究开发了一种基于跨度的注释框架,用于使用大型语言模型 (LLM) 进行临床命名实体识别 (NER). 精心调整的LLM超越了人类注释者,显示了自动化临床数据标签的前景.

关键词:
韩国临床笔记 韩国临床笔记临床命名实体认可临床文本注释的注释大型语言模型在句子级别的NER中.

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