Start Snomedct Inference Job
comprehendmedical_start_snomedct_inference_job | R Documentation |
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] |
OutputDataConfig |
[required] |
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"
)