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深度学习转换器模型用于构建一个全面的实时创伤观测站:开发和验证研究

Gabrielle Chenais1, Cédric Gil-Jardiné1,2, Hélène Touchais1

  • 1Unit 1219, Bordeaux Public Health Center, Institut National de la Santé et de la Recherche Médicale, Bordeaux, France.

JMIR AI
|June 14, 2024
PubMed
概括

自动化自然语言处理 (NLP) 模型,特别是变压器,在对公共卫生监测的非结构化临床记录进行分类方面表现出高效率. GPTanam变压器模型在从电子健康记录中识别创伤病例方面取得了最佳表现.

关键词:
深度学习是一种深度学习.紧急情况,紧急情况.自然语言处理自然语言处理.公共卫生公共卫生.变压器 变压器 变压器创伤的创伤创伤的创伤.

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