Description Usage Arguments Value Service syntax Operations Examples
View source: R/comprehendmedical_service.R
Amazon Comprehend Medical extracts structured information from unstructured clinical text. Use these actions to gain insight in your documents.
1 | comprehendmedical(config = list())
|
config |
Optional configuration of credentials, endpoint, and/or region. |
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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | 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"
)
)
|
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 |
1 2 3 4 5 6 7 | ## Not run:
svc <- comprehendmedical()
svc$describe_entities_detection_v2_job(
Foo = 123
)
## End(Not run)
|
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