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

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.

See https://www.paws-r-sdk.com/docs/comprehendmedical_start_snomedct_inference_job/ for full documentation.

Usage

comprehendmedical_start_snomedct_inference_job(
  InputDataConfig,
  OutputDataConfig,
  DataAccessRoleArn,
  JobName = NULL,
  ClientRequestToken = NULL,
  KMSKey = NULL,
  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.