关于从临床文本中提取信息的研究报告准则
Daniel Reichenpfader1, Kerstin Denecke1
1Bern University of Applied Sciences, Institute for Patient-centered Digital Health, Biel/Bienne, Switzerland.
Studies in health technology and informatics
|August 23, 2024
概括
本研究引入了一项报告准则,以标准化从临床文本中提取信息 (IE),提高临床自然语言处理研究中的研究可比性和可复制性.
科学领域:
- 临床自然语言处理 临床自然语言处理
- 提取信息 提取信息
- 医疗信息学 医疗信息学
背景情况:
- 临床自然语言处理 (NLP) 和信息提取 (IE) 的快速进步在研究可比性和可复制性方面带来了挑战.
- 缺乏标准化的报告阻碍了临床文本分析结果的评估和整合.
研究的目的:
- 为涉及从临床文本中提取信息的研究提出新的报告准则.
- 标准化临床IE研究中方法和结果的描述.
主要方法:
- 该指南的制定是基于从自由文本放射学报告中对34项IE研究进行范围审查的经验.
- 确定和定义基本类别的关键报告方面.
主要成果:
- 拟议的指导方针包括五个顶级类别:信息模型,架构,数据,注释和结果.
- 在临床IE研究中,总共有28个具体方面被定义为报告.
结论:
- 该指南旨在为临床文本IE建立报告标准,促进研究领域的统一性.
- 未来的工作包括开发基于共识的分类学和更新指南以适应技术进步.
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