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  • Attribute Value with ID “2257fa65-711a-4235-a365-2c2ef06d83e0” doesn’t exist. Perhaps it was deleted?
  • Language with ID “fc0dd7f2-1bee-59d2-b3e3-da7326b4d081” doesn’t exist. Perhaps it was deleted?
7056885022
The component that hold information about this relationship.
376009002 |Product containing only tiagabine hydrochloride 4 mg/1 each oral tablet (clinical drug)|
Identifies the source concept of the relationship version. That is the concept defined by this relationship. Set to the identifier of a concept.
108404000 |Tiagabine hydrochloride (substance)|
Identifies the concept that is the destination of the relationship version. That is the concept representing the value of the attribute represented by the typeId column. Set to the identifier of a concept. Note that the values that can be applied to particular attributes are formally defined by the SNOMED CT Machine Readable Concept Model.
1
Groups together relationship versions that are part of a logically associated relationshipGroup. All activeRelationship records with the same relationshipGroup number and sourceId are grouped in this way.
127489000 |Has active ingredient (attribute)|
Identifies the concept that represent the defining attribute (or relationship type) represented by this relationship version. That is the concept representing the value of the attribute represented by the typeId column. Set to the identifier of a concept. The concept identified must be either 116680003 | Is a| or a subtype of 410662002 | Concept model attribute| .
900000000000011006 |Inferred relationship (core metadata concept)|
A concept enumeration value that identifies the characteristic type of the relationship version (i.e. whether the relationship version is defining, qualifying, etc.) This field is set to a descendant of 900000000000449001
900000000000451002 |Existential restriction modifier (core metadata concept)|
A concept enumeration value that identifies the type of Description Logic (DL) restriction (some, all, etc.). Set to a child of 900000000000450001
False
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