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Starts an asynchronous job to detect medical concepts and link them to the SNOMED-CT ontology

Description

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.

Usage

comprehendmedical_start_snomedct_inference_job(InputDataConfig,
  OutputDataConfig, DataAccessRoleArn, JobName, ClientRequestToken,
  KMSKey, LanguageCode)

Arguments

  • InputDataConfig

    [required] The input properties for an entities detection job. This includes the name of the S3 bucket and the path to the files to be analyzed.

  • OutputDataConfig

    [required] The output properties for a detection job.

  • DataAccessRoleArn

    [required] The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend Medical read access to your input data.

  • JobName

    The user generated name the asynchronous InferSNOMEDCT job.

  • ClientRequestToken

    A unique identifier for the request. If you don't set the client request token, Amazon Comprehend Medical generates one.

  • KMSKey

    An AWS Key Management Service key used to encrypt your output files. If you do not specify a key, the files are written in plain text.

  • LanguageCode

    [required] The language of the input documents. All documents must be in the same language.

Value

A list with the following syntax:

list(
  JobId = "string"
)

Request syntax

svc$start_snomedct_inference_job(
  InputDataConfig = list(
    S3Bucket = "string",
    S3Key = "string"
  ),
  OutputDataConfig = list(
    S3Bucket = "string",
    S3Key = "string"
  ),
  DataAccessRoleArn = "string",
  JobName = "string",
  ClientRequestToken = "string",
  KMSKey = "string",
  LanguageCode = "en"
)