Comprehend Medical; extracts structured information from unstructured clinical text. Use these actions to gain insight in your documents.
comprehendmedical(config = list())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.
Optional configuration of credentials, endpoint, and/or region.
access_key_id: AWS access key ID
secret_access_key: AWS secret access key
session_token: AWS temporary session token
profile: The name of a profile to use. If not given, then the default profile is used.
anonymous: Set anonymous credentials.
endpoint: The complete URL to use for the constructed client.
region: The AWS Region used in instantiating the client.
close_connection: Immediately close all HTTP connections.
timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.
s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e., http://s3.amazonaws.com/BUCKET/KEY.
svc <- comprehendmedical(
config = list(
credentials = list(
creds = list(
access_key_id = "string",
secret_access_key = "string",
session_token = "string"
),
profile = "string",
anonymous = "logical"
),
endpoint = "string",
region = "string",
close_connection = "logical",
timeout = "numeric",
s3_force_path_style = "logical"
)
)
| 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 |
| describe_snomedct_inference_job | Gets the properties associated with an InferSNOMEDCT 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 |
| infer_snomedct | InferSNOMEDCT detects possible medical concepts as entities and links them to codes from the Systematized Nomenclature of Medicine, Clinical Terms (SNOMED-CT) ontology |
| 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 |
| list_snomedct_inference_jobs | Gets a list of InferSNOMEDCT jobs a user has 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 |
| start_snomedct_inference_job | Starts an asynchronous job to detect medical concepts and link them to the SNOMED-CT 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 |
| stop_snomedct_inference_job | Stops an InferSNOMEDCT inference job in progress |
if (FALSE) {
svc <- comprehendmedical()
svc$describe_entities_detection_v2_job(
Foo = 123
)
}
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