Abstract
To enable the efficient reuse of standard based medical data we propose to develop a higher level information model that will complement the archetype model of ISO 13606. This model will make use of the relationships that are specified in UML to connect medical archetypes into a knowledge base within a repository. UML connectors were analyzed for their ability to be applied in the implementation of a higher level model that will establish relationships between archetypes. An information model was developed using XML Schema notation. The model allows linking different archetypes of one repository into a knowledge base. Presently it supports several relationships and will be advanced in future.
| Original language | English |
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| Title of host publication | HEALTHINF 2014 - 7th International Conference on Health Informatics, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 |
| Publisher | SciTePress |
| Pages | 250-255 |
| Number of pages | 6 |
| ISBN (Print) | 9789897580109 |
| Publication status | Published - 2014 |
| Event | 7th International Conference on Health Informatics, HEALTHINF 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 - Angers, Loire Valley, France Duration: 3 Mar 2014 → 6 Mar 2014 |
Other
| Other | 7th International Conference on Health Informatics, HEALTHINF 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 |
|---|---|
| Country | France |
| City | Angers, Loire Valley |
| Period | 3.3.14 → 6.3.14 |
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Keywords
- Archetype
- Knowledge base
- UML
ASJC Scopus subject areas
- Health Informatics
Cite this
Kopanitsa, G. (2014). Application of UML connectors for arranging medical archetypes into a knowledge base. In HEALTHINF 2014 - 7th International Conference on Health Informatics, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 (pp. 250-255). SciTePress.