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
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. Amazon Comprehend Medical only detects medical entities in English language texts.
The detect_entities_v2
operation replaces the
detect_entities operation. This
new action uses a different model for determining the entities in your
medical text and changes the way that some entities are returned in the
output. You should use the
detect_entities_v2 operation
in all new applications.
The detect_entities_v2
operation returns the Acuity and Direction entities as attributes
instead of types.
comprehendmedical_detect_entities_v2(Text)
Text |
[required] A UTF-8 string containing the clinical content being examined for entities. Each string must contain fewer than 20,000 bytes of characters. |
A list with the following syntax:
list(
Entities = list(
list(
Id = 123,
BeginOffset = 123,
EndOffset = 123,
Score = 123.0,
Text = "string",
Category = "MEDICATION"|"MEDICAL_CONDITION"|"PROTECTED_HEALTH_INFORMATION"|"TEST_TREATMENT_PROCEDURE"|"ANATOMY"|"TIME_EXPRESSION",
Type = "NAME"|"DOSAGE"|"ROUTE_OR_MODE"|"FORM"|"FREQUENCY"|"DURATION"|"GENERIC_NAME"|"BRAND_NAME"|"STRENGTH"|"RATE"|"ACUITY"|"TEST_NAME"|"TEST_VALUE"|"TEST_UNITS"|"PROCEDURE_NAME"|"TREATMENT_NAME"|"DATE"|"AGE"|"CONTACT_POINT"|"EMAIL"|"IDENTIFIER"|"URL"|"ADDRESS"|"PROFESSION"|"SYSTEM_ORGAN_SITE"|"DIRECTION"|"QUALITY"|"QUANTITY"|"TIME_EXPRESSION"|"TIME_TO_MEDICATION_NAME"|"TIME_TO_DX_NAME"|"TIME_TO_TEST_NAME"|"TIME_TO_PROCEDURE_NAME"|"TIME_TO_TREATMENT_NAME",
Traits = list(
list(
Name = "SIGN"|"SYMPTOM"|"DIAGNOSIS"|"NEGATION",
Score = 123.0
)
),
Attributes = list(
list(
Type = "NAME"|"DOSAGE"|"ROUTE_OR_MODE"|"FORM"|"FREQUENCY"|"DURATION"|"GENERIC_NAME"|"BRAND_NAME"|"STRENGTH"|"RATE"|"ACUITY"|"TEST_NAME"|"TEST_VALUE"|"TEST_UNITS"|"PROCEDURE_NAME"|"TREATMENT_NAME"|"DATE"|"AGE"|"CONTACT_POINT"|"EMAIL"|"IDENTIFIER"|"URL"|"ADDRESS"|"PROFESSION"|"SYSTEM_ORGAN_SITE"|"DIRECTION"|"QUALITY"|"QUANTITY"|"TIME_EXPRESSION"|"TIME_TO_MEDICATION_NAME"|"TIME_TO_DX_NAME"|"TIME_TO_TEST_NAME"|"TIME_TO_PROCEDURE_NAME"|"TIME_TO_TREATMENT_NAME",
Score = 123.0,
RelationshipScore = 123.0,
RelationshipType = "EVERY"|"WITH_DOSAGE"|"ADMINISTERED_VIA"|"FOR"|"NEGATIVE"|"OVERLAP"|"DOSAGE"|"ROUTE_OR_MODE"|"FORM"|"FREQUENCY"|"DURATION"|"STRENGTH"|"RATE"|"ACUITY"|"TEST_VALUE"|"TEST_UNITS"|"DIRECTION"|"SYSTEM_ORGAN_SITE",
Id = 123,
BeginOffset = 123,
EndOffset = 123,
Text = "string",
Category = "MEDICATION"|"MEDICAL_CONDITION"|"PROTECTED_HEALTH_INFORMATION"|"TEST_TREATMENT_PROCEDURE"|"ANATOMY"|"TIME_EXPRESSION",
Traits = list(
list(
Name = "SIGN"|"SYMPTOM"|"DIAGNOSIS"|"NEGATION",
Score = 123.0
)
)
)
)
)
),
UnmappedAttributes = list(
list(
Type = "MEDICATION"|"MEDICAL_CONDITION"|"PROTECTED_HEALTH_INFORMATION"|"TEST_TREATMENT_PROCEDURE"|"ANATOMY"|"TIME_EXPRESSION",
Attribute = list(
Type = "NAME"|"DOSAGE"|"ROUTE_OR_MODE"|"FORM"|"FREQUENCY"|"DURATION"|"GENERIC_NAME"|"BRAND_NAME"|"STRENGTH"|"RATE"|"ACUITY"|"TEST_NAME"|"TEST_VALUE"|"TEST_UNITS"|"PROCEDURE_NAME"|"TREATMENT_NAME"|"DATE"|"AGE"|"CONTACT_POINT"|"EMAIL"|"IDENTIFIER"|"URL"|"ADDRESS"|"PROFESSION"|"SYSTEM_ORGAN_SITE"|"DIRECTION"|"QUALITY"|"QUANTITY"|"TIME_EXPRESSION"|"TIME_TO_MEDICATION_NAME"|"TIME_TO_DX_NAME"|"TIME_TO_TEST_NAME"|"TIME_TO_PROCEDURE_NAME"|"TIME_TO_TREATMENT_NAME",
Score = 123.0,
RelationshipScore = 123.0,
RelationshipType = "EVERY"|"WITH_DOSAGE"|"ADMINISTERED_VIA"|"FOR"|"NEGATIVE"|"OVERLAP"|"DOSAGE"|"ROUTE_OR_MODE"|"FORM"|"FREQUENCY"|"DURATION"|"STRENGTH"|"RATE"|"ACUITY"|"TEST_VALUE"|"TEST_UNITS"|"DIRECTION"|"SYSTEM_ORGAN_SITE",
Id = 123,
BeginOffset = 123,
EndOffset = 123,
Text = "string",
Category = "MEDICATION"|"MEDICAL_CONDITION"|"PROTECTED_HEALTH_INFORMATION"|"TEST_TREATMENT_PROCEDURE"|"ANATOMY"|"TIME_EXPRESSION",
Traits = list(
list(
Name = "SIGN"|"SYMPTOM"|"DIAGNOSIS"|"NEGATION",
Score = 123.0
)
)
)
)
),
PaginationToken = "string",
ModelVersion = "string"
)svc$detect_entities_v2( Text = "string" )
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.