Graph drawing by force-directed placement
Software—Practice & Experience
Towards linking patients and clinical information: detecting UMLS concepts in e-mail
Journal of Biomedical Informatics - Special issue: Building nursing knowledge through infomatics: from concept representation to data mining
Exploratory Social Network Analysis with Pajek
Exploratory Social Network Analysis with Pajek
A collaborative medical case authoring environment based on the UMLS
Journal of Biomedical Informatics
Using UMLS metathesaurus concepts to describe medical images: dermatology vocabulary
Computers in Biology and Medicine
Integrating reasoning and clinical archetypes using OWL ontologies and SWRL rules
Journal of Biomedical Informatics
Automated mapping of observation archetypes to SNOMED CT concepts
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
Clinical coverage of an archetype repository over SNOMED-CT
Journal of Biomedical Informatics
A study of semantic proximity between archetype terms based on SNOMED CT relationships
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
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Clinical archetypes are modular definitions of clinical data, expressed using standard or open constraint-based data models as the CEN EN13606 and openEHR. There is an increasing archetype specification activity that raises the need for techniques to associate archetypes to support better management and user navigation in archetype repositories. This paper reports on a computational technique to generate tentative archetype associations by mapping them through term clusters obtained from the UMLS Metathesaurus. The terms are used to build a bipartite graph model and graph connectivity measures can be used for deriving associations.