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在电子健康记录中识别监禁状态,使用大型语言模型在急诊室设置中

Thomas Huang1, Vimig Socrates2,3, Aidan Gilson1,2

  • 1Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA.

Journal of clinical and translational science
|March 28, 2024
PubMed
概括

自然语言处理 (NLP) 模型从电子健康记录中准确识别监禁状态,改善卫生服务研究并解决健康不平等问题. 这一进展对于了解监禁对患者健康结果的影响至关重要.

关键词:
聊天GPT 聊天 在GPT 聊天紧急情况部门的急救部门.监禁,就是监禁.司法参与 司法参与大型语言模型.机器学习是机器学习.自然语言处理自然语言处理.

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