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Updated: Sep 12, 2025

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探索基于提示符的大型语言模型 (LLM) 方法,用于在医疗事故报告中识别与药物错误相关的命名实体.

Mizue Ogi1, Shin Ushiro2,3, Zoie Shui-Yee Wong1

  • 1Graduate School of Public Health, St.Luke's International University, Tokyo, Japan.

Studies in health technology and informatics
|August 8, 2025
PubMed
概括

生成式预训练语言模型 (LLM) 在医疗报告中显示出命名实体识别 (NER) 的前景. 虽然GPT-4.0的表现很好,但它没有超过以前的模型,这表明临床数据提取存在挑战.

关键词:
在法学士 (LLM) 课程中.尼尔·内尔 (NER NER NER) 是一个国家.医疗事件报告 医疗事件报告药物错误可能是药物错误.

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