AnnoDash是一个临床术语注释仪表板
Justin Xu1, Mjaye Mazwi2, Alistair E W Johnson1
1Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada.
JAMIA open
|July 10, 2023
概括
AnnoDash是一个新的工具,它简化了将临床概念映射到标准的实体学中. 它使用人工智能来提高准确性,并提供可视化,使健康数据分析更容易获得.
科学领域:
- 医疗信息学 医疗信息学
- 生物信息学是一种生物信息学.
- 临床数据管理 临床数据管理
背景情况:
- 标准实体学对于健康数据的互操作性和多站点分析至关重要.
- 目前用于将概念映射到本体学的方法通常是手动的,耗时的,缺乏上下文化.
- 在源数据中对概念进行上下文化的临时方法阻碍了有效的分析.
研究的目的:
- 介绍AnnoDash,一个灵活的仪表板,旨在简化临床概念与本体学术语的注释.
- 提高临床数据与标准实体学的映射的准确性和效率.
- 为非技术用户提供一个用户友好的工具,以改善健康数据的协调.
主要方法:
- 开发了AnnoDash,这是一个基于Web的仪表板,利用基于文本的相似性和大型语言模型进行本体学术语匹配.
- 集成了一个可视化界面来显示与概念相关的观测和时间序列图表以消除歧义.
- 通过使用MIMIC-IV测量与SNOMED CT和LOINC等标准实体学进行定性评估AnnoDash.
主要成果:
- AnnoDash有效地识别了临床概念的可能存在学匹配,通过大型语言模型提高了排名.
- 仪表板通过可视化相关数据和临床测量来促进概念的明确化.
- 定性评估证明了AnnoDash在多个标准本体学的概念注释中的实用性.
结论:
- AnnoDash是一个先进的临床术语注释工具,可以提高健康数据的协调性.
- 该工具简化了将临床数据映射到标准实体学,促进了数据的一致性.
- AnnoDash是免费提供的模块化代码,用于用户定制和扩展.
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