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ComprehendMedical

Service object for interacting with AWS ComprehendMedical service.

public struct ComprehendMedical: AWSService 

Comprehend Medical; extracts structured information from unstructured clinical text. Use these actions to gain insight in your documents.

Inheritance

AWSService

Initializers

init(client:region:partition:endpoint:timeout:byteBufferAllocator:options:)

Initialize the ComprehendMedical client

public init(
        client: AWSClient,
        region: SotoCore.Region? = nil,
        partition: AWSPartition = .aws,
        endpoint: String? = nil,
        timeout: TimeAmount? = nil,
        byteBufferAllocator: ByteBufferAllocator = ByteBufferAllocator(),
        options: AWSServiceConfig.Options = []
    ) 

Parameters

  • client: AWSClient used to process requests
  • region: Region of server you want to communicate with. This will override the partition parameter.
  • partition: AWS partition where service resides, standard (.aws), china (.awscn), government (.awsusgov).
  • endpoint: Custom endpoint URL to use instead of standard AWS servers
  • timeout: Timeout value for HTTP requests

init(from:patch:)

Initializer required by AWSService.with(middlewares:​timeout:​byteBufferAllocator:​options). You are not able to use this initializer directly as there are no public initializers for AWSServiceConfig.Patch. Please use AWSService.with(middlewares:​timeout:​byteBufferAllocator:​options) instead.

public init(from: ComprehendMedical, patch: AWSServiceConfig.Patch) 

Properties

client

Client used for communication with AWS

public let client: AWSClient

config

Service configuration

public let config: AWSServiceConfig

Methods

describeEntitiesDetectionV2Job(_:logger:on:)

public func describeEntitiesDetectionV2Job(_ input: DescribeEntitiesDetectionV2JobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DescribeEntitiesDetectionV2JobResponse> 

Gets the properties associated with a medical entities detection job. Use this operation to get the status of a detection job.

describeICD10CMInferenceJob(_:logger:on:)

public func describeICD10CMInferenceJob(_ input: DescribeICD10CMInferenceJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DescribeICD10CMInferenceJobResponse> 

Gets the properties associated with an InferICD10CM job. Use this operation to get the status of an inference job.

describePHIDetectionJob(_:logger:on:)

public func describePHIDetectionJob(_ input: DescribePHIDetectionJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DescribePHIDetectionJobResponse> 

Gets the properties associated with a protected health information (PHI) detection job. Use this operation to get the status of a detection job.

describeRxNormInferenceJob(_:logger:on:)

public func describeRxNormInferenceJob(_ input: DescribeRxNormInferenceJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DescribeRxNormInferenceJobResponse> 

Gets the properties associated with an InferRxNorm job. Use this operation to get the status of an inference job.

describeSNOMEDCTInferenceJob(_:logger:on:)

public func describeSNOMEDCTInferenceJob(_ input: DescribeSNOMEDCTInferenceJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DescribeSNOMEDCTInferenceJobResponse> 

Gets the properties associated with an InferSNOMEDCT job. Use this operation to get the status of an inference job.

detectEntities(_:logger:on:)

@available(*, deprecated, message:"This operation is deprecated, use DetectEntitiesV2 instead.")
    public func detectEntities(_ input: DetectEntitiesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DetectEntitiesResponse> 

The DetectEntities operation is deprecated. You should use the DetectEntitiesV2 operation instead.

Inspects the clinical text for a variety of medical entities and returns specific information about them such as entity category, location, and confidence score on that information .

detectEntitiesV2(_:logger:on:)

public func detectEntitiesV2(_ input: DetectEntitiesV2Request, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DetectEntitiesV2Response> 

Inspects the clinical text for a variety of medical entities and returns specific information about them such as entity category, location, and confidence score on that information. Amazon Comprehend Medical only detects medical entities in English language texts.

The DetectEntitiesV2 operation replaces the DetectEntities operation. This new action uses a different model for determining the entities in your medical text and changes the way that some entities are returned in the output. You should use the DetectEntitiesV2 operation in all new applications.

The DetectEntitiesV2 operation returns the Acuity and Direction entities as attributes instead of types.

detectPHI(_:logger:on:)

public func detectPHI(_ input: DetectPHIRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DetectPHIResponse> 

Inspects the clinical text for protected health information (PHI) entities and returns the entity category, location, and confidence score for each entity. Amazon Comprehend Medical only detects entities in English language texts.

inferICD10CM(_:logger:on:)

public func inferICD10CM(_ input: InferICD10CMRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<InferICD10CMResponse> 

InferICD10CM detects medical conditions as entities listed in a patient record and links those entities to normalized concept identifiers in the ICD-10-CM knowledge base from the Centers for Disease Control. Amazon Comprehend Medical only detects medical entities in English language texts.

inferRxNorm(_:logger:on:)

public func inferRxNorm(_ input: InferRxNormRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<InferRxNormResponse> 

InferRxNorm detects medications as entities listed in a patient record and links to the normalized concept identifiers in the RxNorm database from the National Library of Medicine. Amazon Comprehend Medical only detects medical entities in English language texts.

inferSNOMEDCT(_:logger:on:)

public func inferSNOMEDCT(_ input: InferSNOMEDCTRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<InferSNOMEDCTResponse> 

InferSNOMEDCT detects possible medical concepts as entities and links them to codes from the Systematized Nomenclature of Medicine, Clinical Terms (SNOMED-CT) ontology

listEntitiesDetectionV2Jobs(_:logger:on:)

public func listEntitiesDetectionV2Jobs(_ input: ListEntitiesDetectionV2JobsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListEntitiesDetectionV2JobsResponse> 

Gets a list of medical entity detection jobs that you have submitted.

listICD10CMInferenceJobs(_:logger:on:)

public func listICD10CMInferenceJobs(_ input: ListICD10CMInferenceJobsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListICD10CMInferenceJobsResponse> 

Gets a list of InferICD10CM jobs that you have submitted.

listPHIDetectionJobs(_:logger:on:)

public func listPHIDetectionJobs(_ input: ListPHIDetectionJobsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListPHIDetectionJobsResponse> 

Gets a list of protected health information (PHI) detection jobs that you have submitted.

listRxNormInferenceJobs(_:logger:on:)

public func listRxNormInferenceJobs(_ input: ListRxNormInferenceJobsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListRxNormInferenceJobsResponse> 

Gets a list of InferRxNorm jobs that you have submitted.

listSNOMEDCTInferenceJobs(_:logger:on:)

public func listSNOMEDCTInferenceJobs(_ input: ListSNOMEDCTInferenceJobsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListSNOMEDCTInferenceJobsResponse> 

Gets a list of InferSNOMEDCT jobs a user has submitted.

startEntitiesDetectionV2Job(_:logger:on:)

public func startEntitiesDetectionV2Job(_ input: StartEntitiesDetectionV2JobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartEntitiesDetectionV2JobResponse> 

Starts an asynchronous medical entity detection job for a collection of documents. Use the DescribeEntitiesDetectionV2Job operation to track the status of a job.

startICD10CMInferenceJob(_:logger:on:)

public func startICD10CMInferenceJob(_ input: StartICD10CMInferenceJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartICD10CMInferenceJobResponse> 

Starts an asynchronous job to detect medical conditions and link them to the ICD-10-CM ontology. Use the DescribeICD10CMInferenceJob operation to track the status of a job.

startPHIDetectionJob(_:logger:on:)

public func startPHIDetectionJob(_ input: StartPHIDetectionJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartPHIDetectionJobResponse> 

Starts an asynchronous job to detect protected health information (PHI). Use the DescribePHIDetectionJob operation to track the status of a job.

startRxNormInferenceJob(_:logger:on:)

public func startRxNormInferenceJob(_ input: StartRxNormInferenceJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartRxNormInferenceJobResponse> 

Starts an asynchronous job to detect medication entities and link them to the RxNorm ontology. Use the DescribeRxNormInferenceJob operation to track the status of a job.

startSNOMEDCTInferenceJob(_:logger:on:)

public func startSNOMEDCTInferenceJob(_ input: StartSNOMEDCTInferenceJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartSNOMEDCTInferenceJobResponse> 

Starts an asynchronous job to detect medical concepts and link them to the SNOMED-CT ontology. Use the DescribeSNOMEDCTInferenceJob operation to track the status of a job.

stopEntitiesDetectionV2Job(_:logger:on:)

public func stopEntitiesDetectionV2Job(_ input: StopEntitiesDetectionV2JobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StopEntitiesDetectionV2JobResponse> 

Stops a medical entities detection job in progress.

stopICD10CMInferenceJob(_:logger:on:)

public func stopICD10CMInferenceJob(_ input: StopICD10CMInferenceJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StopICD10CMInferenceJobResponse> 

Stops an InferICD10CM inference job in progress.

stopPHIDetectionJob(_:logger:on:)

public func stopPHIDetectionJob(_ input: StopPHIDetectionJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StopPHIDetectionJobResponse> 

Stops a protected health information (PHI) detection job in progress.

stopRxNormInferenceJob(_:logger:on:)

public func stopRxNormInferenceJob(_ input: StopRxNormInferenceJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StopRxNormInferenceJobResponse> 

Stops an InferRxNorm inference job in progress.

stopSNOMEDCTInferenceJob(_:logger:on:)

public func stopSNOMEDCTInferenceJob(_ input: StopSNOMEDCTInferenceJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StopSNOMEDCTInferenceJobResponse> 

Stops an InferSNOMEDCT inference job in progress.