Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/s10916-010-9586-9 | J. Medical Systems |
Keywords | Field | DocType |
clinical data,clinical archetype,bipartite graph model,associate archetype,tentative archetype association,open constraint-based data model,archetype specification activity,archetype repository,associating clinical archetypes,graph connectivity measure,cen en13606,umls metathesaurus term clusters,clinical archetypes · umls · graphs,umls,graphs | openEHR,Cluster (physics),Data modeling,Data mining,Computer science,Bipartite graph,Archetype,Modular design,Connectivity,Unified Medical Language System | Journal |
Volume | Issue | ISSN |
36 | 3 | 0148-5598 |
Citations | PageRank | References |
8 | 0.78 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leonardo Lezcano | 1 | 78 | 7.57 |
| Salvador SáNchez-Alonso | 2 | 180 | 8.16 |
| Miguel-Angel Sicilia | 3 | 298 | 30.58 |