comprehendmedical_start_rx_norm_inference_job: Starts an asynchronous job to detect medication entities and...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Starts an asynchronous job to detect medication entities and link them to the RxNorm ontology

Description

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

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

Usage

comprehendmedical_start_rx_norm_inference_job(
  InputDataConfig,
  OutputDataConfig,
  DataAccessRoleArn,
  JobName = NULL,
  ClientRequestToken = NULL,
  KMSKey = NULL,
  LanguageCode
)

Arguments

InputDataConfig	[required] Specifies the format and location of the input data for the job.
OutputDataConfig	[required] Specifies where to send the output files.
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. For more information, see Role-Based Permissions Required for Asynchronous Operations.
JobName	The identifier of the 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 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.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.