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Updated: Jun 28, 2025

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通过临床笔记的自然语言处理识别出有问题的阿片类药物使用的退伍军人与使用诊断代码的比较

Terri Elizabeth Workman1,2, Joel Kupersmith3, Phillip Ma1,2

  • 1Washington DC VA Medical Center, Washington, DC 20422, USA.

Healthcare (Basel, Switzerland)
|April 13, 2024
PubMed
概括

问题性阿片类药物使用往往被遗漏在电子健康记录中. 一个自然语言处理 (NLP) 工具在临床笔记中发现了更多患有阿片类药物问题的患者,而不是ICD代码,强调需要审查笔记以进行准确的诊断.

关键词:
退伍军人退伍军人退伍军人照顾使用使用使用.这种疾病是共患的.人口统计数据 人口统计数据机器学习是机器学习.自然语言处理自然语言处理.对阿片类药物滥用的文档记录.

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