Digital Health Multilingual Ontology to Index Teaching Resources

被引:3
|
作者
Darmoni, Stefan [1 ,2 ]
Benis, Arriel [3 ,4 ]
Lejeune, Emeline [1 ,2 ]
Disson, Flavien [1 ,2 ]
Dahamna, Badisse [1 ,2 ]
Weber, Patrick [5 ]
Staccini, Pascal [6 ]
Grosjean, Julien [1 ,2 ]
机构
[1] Rouen Univ Hosp, Dept Biomed Informat, Rouen, France
[2] Sorbonne Univ, LIMICS Lab Med Informat & Knowledge Engn eHlth, INSERM, U1142, Paris, France
[3] Holon Inst Technol, Fac Ind Engn & Technol Management, Holon, Israel
[4] Holon Inst Technol, Fac Digital Technol Med, Holon, Israel
[5] EFMI, Le Mont Sur Lausanne, Switzerland
[6] Univ Cote DAzur, RESINES, Nice, France
关键词
Digital Health; Language; Teaching; Vocabulary; Controlled; INFORMATICS; CONSTRUCTION; COOPERATION;
D O I
10.3233/SHTI220900
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:19 / 23
页数:5
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