| Autor: |
Stéfan, Darmoni, Arriel, Benis, Emeline, Lejeune, Flavien, Disson, Badisse, Dahamna, Patrick, Weber, Pascal, Staccini, Julien, Grosjean |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Studies in health technology and informatics. 298 |
| ISSN: |
1879-8365 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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