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The SNOMED CT concept model can also be used to identify potential connections between words and possible postcoordination opportunities. For example, if a term such as 'open fracture' (which is found to be a

scg-expression
Concept
t404684003|Clinical
finding|
) occurs in close proximity to the term 'femur' (which is found to be an
Concept
scg-expression
t91723000
|
Anatomical
structure
|
), then this may indicate that there is a 'finding site' relationship between the concepts. By capturing the concept model rules in a machine-processable way, the SNOMED CT MRCM can be used to assist a range of NLP-supported tasks, including:

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Value set bindings that correspond to a particular concept model attribute (e.g. 

Concept
scg-expression
t272741003
|
Laterality
|
) can be designed to be consistent with the appropriate attribute range (e.g.
Concept
scg-expression
t<
182353008
|
Side
|
) defined in the MRCM. Similarly, the MRCM can be used to suggest possible model meaning bindings for an information model, to suggest new data elements that could be added (at either design time or runtime) to represent relevant attribute refinements, and to test existing model meaning bindings for consistency with the concept model.

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