[ aws . comprehendmedical ]

start-snomedct-inference-job

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.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  start-snomedct-inference-job
--input-data-config <value>
--output-data-config <value>
--data-access-role-arn <value>
[--job-name <value>]
[--client-request-token <value>]
[--kms-key <value>]
--language-code <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--input-data-config (structure)

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.

S3Bucket -> (string)

The URI of the S3 bucket that contains the input data. The bucket must be in the same region as the API endpoint that you are calling.

Each file in the document collection must be less than 40 KB. You can store a maximum of 30 GB in the bucket.

S3Key -> (string)

The path to the input data files in the S3 bucket.

Shorthand Syntax:

S3Bucket=string,S3Key=string

JSON Syntax:

{
  "S3Bucket": "string",
  "S3Key": "string"
}

--output-data-config (structure)

The output properties for a detection job.

S3Bucket -> (string)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output.

S3Key -> (string)

The path to the output data files in the S3 bucket. Comprehend Medical; creates an output directory using the job ID so that the output from one job does not overwrite the output of another.

Shorthand Syntax:

S3Bucket=string,S3Key=string

JSON Syntax:

{
  "S3Bucket": "string",
  "S3Key": "string"
}

--data-access-role-arn (string)

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.

--job-name (string)

The user generated name the asynchronous InferSNOMEDCT job.

--client-request-token (string)

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

--kms-key (string)

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.

--language-code (string)

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

Possible values:

• en

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.

Output

JobId -> (string)

The identifier generated for the job. To get the status of a job, use this identifier with the StartSNOMEDCTInferenceJob operation.