将OMOP-CDM映射到RDF:将现实世界的数据带到语义网络领域
Achilleas Chytas1,2, Nick Bassileiades2, Pantelis Natsiavas1
1Institute of Applied Biosciences, Centre for Research and Technology Hellas, Greece.
Studies in health technology and informatics
|August 23, 2024
概括
这项研究将观察性健康数据科学和信息学共同数据模型 (OMOP-CDM) 映射到一个本体模型中. 这增强了用于语义网络集成的真实世界数据 (RWD) 的公平性.
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 语义网络技术 语义网络技术
背景情况:
- 来自电子医疗记录 (EHR) 等来源的真实世界数据 (RWD) 对大规模的观察性研究非常有价值.
- 观察健康数据科学和信息学 (OHDSI) 计划使用OMOP共同数据模型 (OMOP-CDM) 来协调RWD.
- OMOP-CDM能够实现语法和语义互操作性,但受到关系数据库格式的限制,阻碍了完全连接的,语义丰富的模型.
研究的目的:
- 提出一个开源的努力,用资源描述框架 (RDF) 将OMOP-CDM映射到一个本体模型中.
- 提高RWD的可寻性,可访问性,互操作性和可重复使用性 (公平性).
- 为了促进RWD与Semantic Web应用程序的链接开放数据 (LOD) 的相互联系.
主要方法:
- 从OMOP-CDM到基于RDF的实体模型的开源映射的开发.
- 应用语义网络技术来表示OMOP-CDM数据.
主要成果:
- 成功地将OMOP-CDM结构和托管数据映射到一个本体模型中.
- 证明了增强数据公平性和相互连接能力的潜力.
结论:
- 将OMOP-CDM映射到一个本体模型上是一个可行的方法来推进RWD FAIRness.
- 这种方法支持了语义上丰富,互连的数据景观的视野,用于语义网络.
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