MIMO

MIMO provides a multilingual ontology of medical informatics and digital health concepts to support cross-lingual terminology mapping, resource indexing, and semantic annotation.


Key Features:

  • Multilingual Capability: Supports over 30 languages for representation of concepts across linguistic boundaries.
  • Extensive Conceptual Database: Encompasses approximately 1,379 concepts, including 460 MeSH Descriptors, 220 MeSH Concepts, and more than 300 newly created concepts.
  • Integration with HeTOP: Integrated into the Health Terminology/Ontology Portal (HeTOP), which hosts over 100 terminologies and ontologies across 55 languages.
  • Portability: Designed to be portable across various knowledge platforms.
  • Regular Updates: The concept set is continuously updated to reflect developments in health informatics and digital health.

Scientific Applications:

  • International Collaboration: Facilitates cross-lingual communication and standardized terminology use in multinational research projects, particularly in Europe.
  • Educational Resource Indexing (SaNuRN): Used to index digital health resources in the SaNuRN project and to support a semantic search engine for accessing educational materials.
  • Research Annotation and Categorization (HosmartAI): Applied in projects such as HosmartAI to annotate and categorize research products across more than 20 countries.

Methodology:

No computational methods or implementation steps are specified in the provided description.

Topics

Details

License:
Other
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
11/10/2022
Last Updated:
11/24/2024

Operations

Publications

Benis A, Grosjean J, Billey K, Montanha G, Dornauer V, Crișan-Vida M, Hackl WO, Stoicu-Tivadar L, Darmoni SJ. Medical informatics and digital health multilingual ontology (MIMO): A tool to improve international collaborations. International Journal of Medical Informatics. 2022;167:104860. doi:10.1016/j.ijmedinf.2022.104860. PMID:36084537. PMCID:PMC9582075.

Darmoni S, Benis A, Lejeune E, Disson F, Dahamna B, Weber P, Staccini P, Grosjean J. Digital Health Multilingual Ontology to Index Teaching Resources. Studies in Health Technology and Informatics. 2022. doi:10.3233/shti220900. PMID:36073449.

Documentation