Extending the coverage of phenotypes in SNOMED CT through post-coordination.
OBJECTIVE
To extend the coverage of phenotypes in SNOMED CT through post-coordination.


METHODS
We identify frequent modifiers in terms from the Human Phenotype Ontology (HPO), which we associate with templates for post-coordinated expressions in SNOMED CT.


RESULTS
We identified 176 modifiers, created 12 templates, and generated 1,617 post-coordinated expressions.


CONCLUSIONS
Through this novel approach, we can increase the current number of mappings by 50%.
Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD, USA.
Ferdinand
F
Dhombres
Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
Rainer
R
Winnenburg
Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD, USA.
James T
JT
Case
Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD, USA.
Olivier
O
Bodenreider
D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D010641:Phenotype; D039061:Systematized Nomenclature of Medicine; D017432:Unified Medical Language System