Table Of Contents

Feedback

User Guide

First time using the AWS CLI? See the User Guide for help getting started.

[ aws . comprehendmedical ]

detect-entities

Description

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 .

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  detect-entities
--text <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--text (string)

A UTF-8 text string containing the clinical content being examined for entities. Each string must contain fewer than 20,000 bytes of characters.

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Output

Entities -> (list)

The collection of medical entities extracted from the input text and their associated information. For each entity, the response provides the entity text, the entity category, where the entity text begins and ends, and the level of confidence that Comprehend Medical has in the detection and analysis. Attributes and traits of the entity are also returned.

(structure)

Provides information about an extracted medical entity.

Id -> (integer)

The numeric identifier for the entity. This is a monotonically increasing id unique within this response rather than a global unique identifier.

BeginOffset -> (integer)

The 0-based character offset in the input text that shows where the entity begins. The offset returns the UTF-8 code point in the string.

EndOffset -> (integer)

The 0-based character offset in the input text that shows where the entity ends. The offset returns the UTF-8 code point in the string.

Score -> (float)

The level of confidence that Comprehend Medical has in the accuracy of the detection.

Text -> (string)

The segment of input text extracted as this entity.

Category -> (string)

The category of the entity.

Type -> (string)

Describes the specific type of entity with category of entities.

Traits -> (list)

Contextual information for the entity

(structure)

Provides contextual information about the extracted entity.

Name -> (string)

Provides a name or contextual description about the trait.

Score -> (float)

The level of confidence that Comprehend Medical has in the accuracy of this trait.

Attributes -> (list)

The extracted attributes that relate to this entity.

(structure)

An extracted segment of the text that is an attribute of an entity, or otherwise related to an entity, such as the dosage of a medication taken. It contains information about the attribute such as id, begin and end offset within the input text, and the segment of the input text.

Type -> (string)

The type of attribute.

Score -> (float)

The level of confidence that Comprehend Medical has that the segment of text is correctly recognized as an attribute.

RelationshipScore -> (float)

The level of confidence that Comprehend Medical has that this attribute is correctly related to this entity.

Id -> (integer)

The numeric identifier for this attribute. This is a monotonically increasing id unique within this response rather than a global unique identifier.

BeginOffset -> (integer)

The 0-based character offset in the input text that shows where the attribute begins. The offset returns the UTF-8 code point in the string.

EndOffset -> (integer)

The 0-based character offset in the input text that shows where the attribute ends. The offset returns the UTF-8 code point in the string.

Text -> (string)

The segment of input text extracted as this attribute.

Traits -> (list)

Contextual information for this attribute.

(structure)

Provides contextual information about the extracted entity.

Name -> (string)

Provides a name or contextual description about the trait.

Score -> (float)

The level of confidence that Comprehend Medical has in the accuracy of this trait.

UnmappedAttributes -> (list)

Attributes extracted from the input text that we were unable to relate to an entity.

(structure)

An attribute that we extracted, but were unable to relate to an entity.

Type -> (string)

The type of the attribute, could be one of the following values: "MEDICATION", "MEDICAL_CONDITION", "ANATOMY", "TEST_AND_TREATMENT_PROCEDURE" or "PERSONAL_HEALTH_INFORMATION".

Attribute -> (structure)

The specific attribute that has been extracted but not mapped to an entity.

Type -> (string)

The type of attribute.

Score -> (float)

The level of confidence that Comprehend Medical has that the segment of text is correctly recognized as an attribute.

RelationshipScore -> (float)

The level of confidence that Comprehend Medical has that this attribute is correctly related to this entity.

Id -> (integer)

The numeric identifier for this attribute. This is a monotonically increasing id unique within this response rather than a global unique identifier.

BeginOffset -> (integer)

The 0-based character offset in the input text that shows where the attribute begins. The offset returns the UTF-8 code point in the string.

EndOffset -> (integer)

The 0-based character offset in the input text that shows where the attribute ends. The offset returns the UTF-8 code point in the string.

Text -> (string)

The segment of input text extracted as this attribute.

Traits -> (list)

Contextual information for this attribute.

(structure)

Provides contextual information about the extracted entity.

Name -> (string)

Provides a name or contextual description about the trait.

Score -> (float)

The level of confidence that Comprehend Medical has in the accuracy of this trait.

PaginationToken -> (string)

If the result of the previous request to DetectEntities was truncated, include the Paginationtoken to fetch the next page of entities.