Department of Biomedical Informatics, Rouen University Hospital, France.
LIMICS Laboratory of Medical Informatics and Knowledge Engineering in e-Health, INSERM U1142, Sorbonne Université, France.
Stud Health Technol Inform. 2022 Aug 31;298:19-23. doi: 10.3233/SHTI220900.
The aim of this paper is to present the use of Medical Informatics Multilingual Ontology (MIMO) to index digital health resources that are (and will be) included in SaNuRN (project to teach digital health). MIMO currently contains 1,379 concepts and is integrated into HeTOP, which is a cross-lingual multiterminogy server. Existing teaching resources have been reindexed with MIMO concepts and integrated into a dedicated website. A total of 345 resources have been indexed with MIMO concepts and are freely available at https://doccismef.chu-rouen.fr/dc/#env=sanurn. The development of a multilingual MIMO for enhancing the quality and the efficiency of international projects is challenging. A specific semantic search engine has been deployed to give access to digital health teaching resources.
本文旨在介绍使用医学信息学多语言本体 (MIMO) 对数字健康资源进行索引，这些资源将被纳入 SaNuRN（教授数字健康的项目）。MIMO 目前包含 1379 个概念，并集成到 HeTOP 中，HeTOP 是一个跨语言多术语服务器。现有的教学资源已经使用 MIMO 概念重新索引，并整合到一个专用网站中。共有 345 个资源已使用 MIMO 概念进行索引，并可在 https://doccismef.chu-rouen.fr/dc/#env=sanurn 上免费获取。开发用于提高国际项目质量和效率的多语言 MIMO 是一项具有挑战性的工作。已经部署了一个特定的语义搜索引擎，以访问数字健康教学资源。
