Suppr超能文献

一种用于八个患者数据库中事件同质识别的语义方法:对欧洲欧盟药物不良反应(eu-ADR)项目的贡献。

A semantic approach for the homogeneous identification of events in eight patient databases: a contribution to the European eu-ADR project.

作者信息

Avillach Paul, Mougin Fleur, Joubert Michel, Thiessard Frantz, Pariente Antoine, Dufour Jean-Charles, Trifirò Gianluca, Polimeni Giovanni, Catania Maria Antonietta, Giaquinto Carlo, Mazzaglia Giampiero, Baio Gianluca, Herings Ron, Gini Rosa, Hippisley-Cox Julia, Molokhia Mariam, Pedersen Lars, Fourrier-Réglat Annie, Sturkenboom Miriam, Fieschi Marius

机构信息

LESIM, ISPED, Université Victor Segalen Bordeaux 2, France (FR).

出版信息

Stud Health Technol Inform. 2009;150:190-4.

Abstract

The overall objective of the eu-ADR project is the design, development, and validation of a computerised system that exploits data from electronic health records and biomedical databases for the early detection of adverse drug reactions. Eight different databases, containing health records of more than 30 million European citizens, are involved in the project. Unique queries cannot be performed across different databases because of their heterogeneity: Medical record and Claims databases, four different terminologies for coding diagnoses, and two languages for the information described in free text. The aim of our study was to provide database owners with a common basis for the construction of their queries. Using the UMLS, we provided a list of medical concepts, with their corresponding terms and codes in the four terminologies, which should be considered to retrieve the relevant information for the events of interest from the databases.

摘要

欧盟药物不良反应(eu-ADR)项目的总体目标是设计、开发并验证一个计算机化系统,该系统利用电子健康记录和生物医学数据库中的数据来早期检测药物不良反应。该项目涉及八个不同的数据库,包含三千多万欧洲公民的健康记录。由于数据库的异构性,无法在不同数据库之间执行独特的查询:病历数据库和理赔数据库、四种不同的诊断编码术语以及两种用于自由文本描述信息的语言。我们研究的目的是为数据库所有者提供构建查询的共同基础。通过使用统一医学语言系统(UMLS),我们提供了一份医学概念列表,以及它们在四种术语中的相应术语和代码,在从数据库中检索感兴趣事件的相关信息时应考虑这些内容。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验