RxNormEntity
public struct RxNormEntity : AWSShape
Undocumented
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Declaration
Swift
public static var _members: [AWSShapeMember]
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The extracted attributes that relate to the entity. The attributes recognized by InferRxNorm are DOSAGE, DURATION, FORM, FREQUENCY, RATE, ROUTE_OR_MODE, and STRENGTH.
Declaration
Swift
public let attributes: [RxNormAttribute]?
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The 0-based character offset in the input text that shows where the entity begins. The offset returns the UTF-8 code point in the string.
Declaration
Swift
public let beginOffset: Int?
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The category of the entity. The recognized categories are GENERIC or BRAND_NAME.
Declaration
Swift
public let category: RxNormEntityCategory?
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The 0-based character offset in the input text that shows where the entity ends. The offset returns the UTF-8 code point in the string.
Declaration
Swift
public let endOffset: Int?
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The numeric identifier for the entity. This is a monotonically increasing id unique within this response rather than a global unique identifier.
Declaration
Swift
public let id: Int?
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The RxNorm concepts that the entity could refer to, along with a score indicating the likelihood of the match.
Declaration
Swift
public let rxNormConcepts: [RxNormConcept]?
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The level of confidence that Amazon Comprehend Medical has in the accuracy of the detected entity.
Declaration
Swift
public let score: Float?
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The segment of input text extracted from which the entity was detected.
Declaration
Swift
public let text: String?
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Contextual information for the entity.
Declaration
Swift
public let traits: [RxNormTrait]?
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Describes the specific type of entity. For InferRxNorm, the recognized entity type is MEDICATION.
Declaration
Swift
public let type: RxNormEntityType?
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Undocumented
Declaration
Swift
public init(attributes: [RxNormAttribute]? = nil, beginOffset: Int? = nil, category: RxNormEntityCategory? = nil, endOffset: Int? = nil, id: Int? = nil, rxNormConcepts: [RxNormConcept]? = nil, score: Float? = nil, text: String? = nil, traits: [RxNormTrait]? = nil, type: RxNormEntityType? = nil)