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相关实验视频

Updated: Jul 4, 2025

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自动识别前列腺癌患者临床笔记中的财务压力信息.

V Zhu1, L Lenert1, B Bunnell1

  • 1Biomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, United States.

Cancer research and reports
|February 6, 2024
PubMed
概括

财务压力在癌症患者中很常见,但往往是未经记录的. 自然语言处理 (NLP) 可以准确地从临床笔记中识别财务压力,改善患者的护理和支持.

关键词:
电子健康记录电子健康记录经济压力 经济压力自然语言处理自然语言处理.前列腺癌是什么意思 前列腺癌是什么意思

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科学领域:

  • 在瘤学瘤学.
  • 医疗信息学 医疗信息学
  • 健康的社会决定因素

背景情况:

  • 财务压力是影响癌症患者的重要社会决定因素,原因是治疗成本高昂.
  • 美国国家医学院建议讨论成本问题,以改善共享决策和确定财政援助.
  • 财务压力在临床实践和研究中没有得到充分记录,这阻碍了患者的支持.

研究的目的:

  • 开发和评估一种自然语言处理 (NLP) 方法,用于识别前列腺癌患者临床叙述中的财务压力.
  • 评估使用NLP从电子健康记录 (EHR) 中提取财务压力数据的可行性.

主要方法:

  • 开发并代改进了一个NLP算法和金融压力词典,使用了3,138名前列腺癌患者的训练数据集.
  • 利用了1,057名患者的单独测试数据集来评估NLP算法的性能,包括否定检测.
  • 聘请领域专家进行NLP识别病例的手动审查,以验证准确性.

主要成果:

  • 该NLP算法在6.0%的培训样本和6.2%的测试样本中发现了财务压力.
  • 性能指标包括0.86的精度,1.0的召回率和0.92的F-score,当被领域专家验证时.
  • 发现的关键词包括"财务担忧"",负担不起"和"保险问题".

结论:

  • 财务压力在电子健康记录中很少被记录,无论是结构化数据还是临床叙述.
  • 在从可用的临床笔记中提取财务压力信息时,NLP表现出高准确度.
  • 这项技术可以帮助发现和解决癌症患者的财务压力,促进更好的支持和护理.