#[non_exhaustive]
pub struct Icd10CmEntity { pub id: Option<i32>, pub text: Option<String>, pub category: Option<Icd10CmEntityCategory>, pub type: Option<Icd10CmEntityType>, pub score: Option<f32>, pub begin_offset: Option<i32>, pub end_offset: Option<i32>, pub attributes: Option<Vec<Icd10CmAttribute>>, pub traits: Option<Vec<Icd10CmTrait>>, pub icd10_cm_concepts: Option<Vec<Icd10CmConcept>>, }
Expand description

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 Amazon Comprehend Medical has in the detection and analysis. Attributes and traits of the entity are also returned.

Fields (Non-exhaustive)

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
id: Option<i32>

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

text: Option<String>

The segment of input text that is matched to the detected entity.

category: Option<Icd10CmEntityCategory>

The category of the entity. InferICD10CM detects entities in the MEDICAL_CONDITION category.

type: Option<Icd10CmEntityType>

Describes the specific type of entity with category of entities. InferICD10CM detects entities of the type DX_NAME and TIME_EXPRESSION.

score: Option<f32>

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

begin_offset: Option<i32>

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.

end_offset: Option<i32>

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.

attributes: Option<Vec<Icd10CmAttribute>>

The detected attributes that relate to the entity. An extracted segment of the text that is an attribute of an entity, or otherwise related to an entity, such as the nature of a medical condition.

traits: Option<Vec<Icd10CmTrait>>

Provides Contextual information for the entity. The traits recognized by InferICD10CM are DIAGNOSIS, SIGN, SYMPTOM, and NEGATION.

icd10_cm_concepts: Option<Vec<Icd10CmConcept>>

The ICD-10-CM concepts that the entity could refer to, along with a score indicating the likelihood of the match.

Implementations

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

The segment of input text that is matched to the detected entity.

The category of the entity. InferICD10CM detects entities in the MEDICAL_CONDITION category.

Describes the specific type of entity with category of entities. InferICD10CM detects entities of the type DX_NAME and TIME_EXPRESSION.

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

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.

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.

The detected attributes that relate to the entity. An extracted segment of the text that is an attribute of an entity, or otherwise related to an entity, such as the nature of a medical condition.

Provides Contextual information for the entity. The traits recognized by InferICD10CM are DIAGNOSIS, SIGN, SYMPTOM, and NEGATION.

The ICD-10-CM concepts that the entity could refer to, along with a score indicating the likelihood of the match.

Creates a new builder-style object to manufacture Icd10CmEntity

Trait Implementations

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