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comprehendmedical_start_rx_norm_inference_job

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.

Usage

comprehendmedical_start_rx_norm_inference_job(InputDataConfig,
  OutputDataConfig, DataAccessRoleArn, JobName, ClientRequestToken,
  KMSKey, 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.

Value

A list with the following syntax:

list(
  JobId = "string"
)

Request syntax

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

paws.machine.learning

Amazon Web Services Machine Learning Services

v0.1.11
Apache License (>= 2.0)
Authors
David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Initial release

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