Google Cloud Healthcare · Schema
Entity
The candidate entities that an entity mention could link to.
HealthcareFHIRHL7v2DICOMMedical ImagingDe-identificationInteroperabilityCloud
Properties
| Name | Type | Description |
|---|---|---|
| entityId | string | entity_id is a first class field entity_id uniquely identifies this concept and its meta-vocabulary. For example, "UMLS/C0000970". |
| preferredTerm | string | preferred_term is the preferred term for this concept. For example, "Acetaminophen". For ad hoc entities formed by normalization, this is the most popular unnormalized string. |
| vocabularyCodes | array | Vocabulary codes are first-class fields and differentiated from the concept unique identifier (entity_id). vocabulary_codes contains the representation of this concept in particular vocabularies, such |
JSON Schema
{
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "Entity",
"description": "The candidate entities that an entity mention could link to.",
"properties": {
"entityId": {
"description": "entity_id is a first class field entity_id uniquely identifies this concept and its meta-vocabulary. For example, \"UMLS/C0000970\".",
"type": "string"
},
"preferredTerm": {
"description": "preferred_term is the preferred term for this concept. For example, \"Acetaminophen\". For ad hoc entities formed by normalization, this is the most popular unnormalized string.",
"type": "string"
},
"vocabularyCodes": {
"description": "Vocabulary codes are first-class fields and differentiated from the concept unique identifier (entity_id). vocabulary_codes contains the representation of this concept in particular vocabularies, such as ICD-10, SNOMED-CT and RxNORM. These are prefixed by the name of the vocabulary, followed by the unique code within that vocabulary. For example, \"RXNORM/A10334543\".",
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
}