comprehendmedical: AWS Comprehend Medical

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

Description

Amazon Comprehend Medical extracts structured information from unstructured clinical text. Use these actions to gain insight in your documents.

Usage

comprehendmedical(config = list())

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- comprehendmedical(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string"
    ),
    endpoint = "string",
    region = "string"
  )
)

Operations

describe_entities_detection_v2_job	Gets the properties associated with a medical entities detection job
describe_icd10cm_inference_job	Gets the properties associated with an InferICD10CM job
describe_phi_detection_job	Gets the properties associated with a protected health information (PHI) detection job
describe_rx_norm_inference_job	Gets the properties associated with an InferRxNorm job
detect_entities	The DetectEntities operation is deprecated
detect_entities_v2	Inspects the clinical text for a variety of medical entities and returns specific information about them such as entity category, location, and confidence score on that information
detect_phi	Inspects the clinical text for protected health information (PHI) entities and returns the entity category, location, and confidence score for each entity
infer_icd10cm	InferICD10CM detects medical conditions as entities listed in a patient record and links those entities to normalized concept identifiers in the ICD-10-CM knowledge base from the Centers for Disease Control
infer_rx_norm	InferRxNorm detects medications as entities listed in a patient record and links to the normalized concept identifiers in the RxNorm database from the National Library of Medicine
list_entities_detection_v2_jobs	Gets a list of medical entity detection jobs that you have submitted
list_icd10cm_inference_jobs	Gets a list of InferICD10CM jobs that you have submitted
list_phi_detection_jobs	Gets a list of protected health information (PHI) detection jobs that you have submitted
list_rx_norm_inference_jobs	Gets a list of InferRxNorm jobs that you have submitted
start_entities_detection_v2_job	Starts an asynchronous medical entity detection job for a collection of documents
start_icd10cm_inference_job	Starts an asynchronous job to detect medical conditions and link them to the ICD-10-CM ontology
start_phi_detection_job	Starts an asynchronous job to detect protected health information (PHI)
start_rx_norm_inference_job	Starts an asynchronous job to detect medication entities and link them to the RxNorm ontology
stop_entities_detection_v2_job	Stops a medical entities detection job in progress
stop_icd10cm_inference_job	Stops an InferICD10CM inference job in progress
stop_phi_detection_job	Stops a protected health information (PHI) detection job in progress
stop_rx_norm_inference_job	Stops an InferRxNorm inference job in progress

Examples

## Not run: 
svc <- comprehendmedical()
svc$describe_entities_detection_v2_job(
  Foo = 123
)

## End(Not run)

paws.machine.learning documentation built on Aug. 23, 2021, 9:14 a.m.