将CVX疫苗术语与疫苗本体学进行映射和协调
Yuanyi Pan1, Warren Manuel2, Rashmie Abeysinghe3
1University of Michigan Medical School, Ann Arbor, MI, USA.
bioRxiv : the preprint server for biology
|August 12, 2025
概括
这项研究成功地将所有注射疫苗 (CVX) 代码映射到疫苗本体学 (VO),提高了疫苗分类,并使更好的电子健康记录数据分析成为可能. 新的映射改善了对疫苗数据的语义理解.
科学领域:
- 疫苗学 疫苗学 疫苗学
- 生物信息学是一种生物信息学.
- 医疗信息学 医疗信息学
背景情况:
- 标准化疫苗信息对于有效的电子健康记录 (EHR) 数据集成和分析至关重要.
- 目前的术语如CVX,RxNorm和RxNorm扩展缺乏强大的语义关系用于OHDSI OMOP共同数据模型 (CDM) 中的疫苗分类.
- OHDSI疫苗词汇工作组旨在通过将标准代码映射到疫苗本体学 (VO) 中来改进疫苗分类.
研究的目的:
- 将注射疫苗 (CVX) 代码与疫苗本体学 (VO) 进行映射和对齐.
- 在OHDSI OMOP CDM中建立用于疫苗分类的强大的语义关系.
- 开发一个标准化的疫苗词汇,以改善EHR数据分析.
主要方法:
- 收集和分类了273个CVX术语.
- 开发了一种高级VO设计模式和一对一映射策略,用于CVX-to-VO对齐.
- 采用了半自动 (词汇和语义信息) 和手动映射方法的组合.
- 开发和评估了三种半自动映射方法,以建议候选VO映射,并确定无法映射的CVX术语.
- 在VO中引入了一个新的"被动疫苗"分支,用于免疫球蛋白和抗毒素.
主要成果:
- 通过最佳的半自动绘图方法,实现了85.55%的准确性.
- 成功地将所有273个CVX术语映射到VO的最新版本.
- 创建了一个CVX-VO OWL文件并将其添加到VO GitHub存储库.
- 开发了使用案例查询,证明了基于CVX-VO等级的疫苗组计算机辅助查询的支持.
- 将CVX的24种免疫球蛋白和抗毒素纳入VO的新"被动疫苗"分支.
结论:
- 所有CVX术语都使用混合半自动和手动方法成功地映射到VO中.
- 开发的映射增强了语义疫苗分类,为改进的OMOP CDM疫苗分类提供了基础.
- 这项工作支持更有效的EHR数据分析和疫苗信息标准化.
关键词:
这是一个CVX代码.基于嵌入的相似性大型语言模型辅助的映射.在 OMOP CDM 中,OMOP CDM 是一个 CDM 系统.本体论设计模式的设计模式存在论映射的存在论映射疫苗本体学 疫苗本体学在单词层面上的相似性.更多相关视频
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