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
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. Amazon Comprehend Medical only detects medical entities in English language texts.
comprehendmedical_infer_rx_norm(Text)
Text |
[required] The input text used for analysis. The input for InferRxNorm is a string from 1 to 10000 characters. |
A list with the following syntax:
list(
Entities = list(
list(
Id = 123,
Text = "string",
Category = "MEDICATION",
Type = "BRAND_NAME"|"GENERIC_NAME",
Score = 123.0,
BeginOffset = 123,
EndOffset = 123,
Attributes = list(
list(
Type = "DOSAGE"|"DURATION"|"FORM"|"FREQUENCY"|"RATE"|"ROUTE_OR_MODE"|"STRENGTH",
Score = 123.0,
RelationshipScore = 123.0,
Id = 123,
BeginOffset = 123,
EndOffset = 123,
Text = "string",
Traits = list(
list(
Name = "NEGATION",
Score = 123.0
)
)
)
),
Traits = list(
list(
Name = "NEGATION",
Score = 123.0
)
),
RxNormConcepts = list(
list(
Description = "string",
Code = "string",
Score = 123.0
)
)
)
),
PaginationToken = "string",
ModelVersion = "string"
)svc$infer_rx_norm( Text = "string" )
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