Digital Health Multilingual Ontology to Index Teaching Resources-Reference-Cited by-同舟云学术

Digital Health Multilingual Ontology to Index Teaching Resources

Published:2022-08-31 Issue: Volume: Page:
ISSN:0926-9630
Container-title:Studies in Health Technology and Informatics
language:
Short-container-title:

Author:

Darmoni Stéfan¹²,Benis Arriel³⁴,Lejeune Emeline¹²,Disson Flavien¹²,Dahamna Badisse¹²,Weber Patrick⁵,Staccini Pascal⁶,Grosjean Julien¹²

Affiliation:

1. Department of Biomedical Informatics, Rouen University Hospital, France

2. LIMICS Laboratory of Medical Informatics and Knowledge Engineering in e-Health, INSERM U1142, Sorbonne Université, France

3. Faculty of Industrial Engineering and Technology Management, Holon Institute of Technology, Israel

4. Faculty of Digital Technologies in Medicine, Holon Institute of Technology, Israel

5. EFMI, Le Mont-sur-Lausanne, Switzerland

6. RESINES, Université Côte D’Azur, Nice, France

Abstract

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.

Publisher

IOS Press

Link

https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI220900

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