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Updated: Sep 12, 2025

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通过LLM对伪名化日本进度笔记的评估

Eizen Kimura1, Katsuhiko Nishihara1, Nobushige Kohri1

  • 1Department of Medical Informatics, Ehime University, Faculty of Medicine.

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

这项研究开发了一种工具,用于使用基于大型语言模型的命名实体识别 (NER) 来伪造日本临床文本. 该原型显示了增强医疗数据中的患者隐私的前景.

关键词:
大型语言模型名称实体认可 名称实体认可伪名化 伪名化

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