The identifier that Amazon Comprehend Medical generated for the job. The StartEntitiesDetectionV2Job operation returns this identifier in its response.

An object that contains the properties associated with a detection job.

The response's http status code.

The identifier that Amazon Comprehend Medical generated for the job. The StartPHIDetectionJob operation returns this identifier in its response.

An object that contains the properties associated with a detection job.

The response's http status code.

Identifies the next page of results to return.

Filters the jobs that are returned. You can filter jobs based on their names, status, or the date and time that they were submitted. You can only set one filter at a time.

The maximum number of results to return in each page. The default is 100.

Identifies the next page of results to return.

A list containing the properties of each job that is returned.

The response's http status code.

The input text used for analysis. The input for InferICD10CM is a string from 1 to 10000 characters.

If the result of the previous request to InferICD10CM was truncated, include the PaginationToken to fetch the next page of medical condition entities.

The version of the model used to analyze the documents, in the format n.n.n You can use this information to track the model used for a particular batch of documents.

The response's http status code.

The medical conditions detected in the text linked to ICD-10-CM concepts. If the action is successful, the service sends back an HTTP 200 response, as well as the entities detected.

The input text used for analysis. The input for InferRxNorm is a string from 1 to 10000 characters.

If the result of the previous request to InferRxNorm was truncated, include the PaginationToken to fetch the next page of medication entities.

The version of the model used to analyze the documents, in the format n.n.n You can use this information to track the model used for a particular batch of documents.

The response's http status code.

The medication entities detected in the text linked to RxNorm concepts. If the action is successful, the service sends back an HTTP 200 response, as well as the entities detected.

An AWS Key Management Service key to encrypt your output files. If you do not specify a key, the files are written in plain text.

The identifier of the job.

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend Medical generates one.

Specifies the format and location of the input data for the job.

Specifies where to send the output files.

The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend Medical read access to your input data. For more information, see Role-Based Permissions Required for Asynchronous Operations.

The language of the input documents. All documents must be in the same language.

The identifier generated for the job. To get the status of a job, use this identifier with the StartICD10CMInferenceJob operation.

The response's http status code.

An AWS Key Management Service key to encrypt your output files. If you do not specify a key, the files are written in plain text.

The identifier of the job.

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend Medical generates one.

Specifies the format and location of the input data for the job.

Specifies where to send the output files.

The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend Medical read access to your input data. For more information, see Role-Based Permissions Required for Asynchronous Operations.

The language of the input documents. All documents must be in the same language.

The identifier of the job.

The response's http status code.

Identifies the next page of results to return.

Filters the jobs that are returned. You can filter jobs based on their names, status, or the date and time that they were submitted. You can only set one filter at a time.

The maximum number of results to return in each page. The default is 100.

Identifies the next page of results to return.

A list containing the properties of each job returned.

The response's http status code.

The identifier that Amazon Comprehend Medical generated for the job. The StartICD10CMInferenceJob operation returns this identifier in its response.

An object that contains the properties associated with a detection job.

The response's http status code.

An AWS Key Management Service key to encrypt your output files. If you do not specify a key, the files are written in plain text.

The identifier of the job.

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend Medical generates one.

Specifies the format and location of the input data for the job.

Specifies where to send the output files.

The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend Medical read access to your input data. For more information, see Role-Based Permissions Required for Asynchronous Operations.

The language of the input documents. All documents must be in the same language.

The identifier generated for the job. To get the status of a job, use this identifier with the DescribePHIDetectionJob operation.

The response's http status code.

The identifier of the medical entities job to stop.

The identifier of the medical entities detection job that was stopped.

The response's http status code.

The identifier that Amazon Comprehend Medical generated for the job. The StartRxNormInferenceJob operation returns this identifier in its response.

An object that contains the properties associated with a detection job.

The response's http status code.

The identifier of the job.

The identifier generated for the job. To get the status of job, use this identifier with the DescribeICD10CMInferenceJob operation.

The response's http status code.

Identifies the next page of results to return.

Filters the jobs that are returned. You can filter jobs based on their names, status, or the date and time that they were submitted. You can only set one filter at a time.

The maximum number of results to return in each page. The default is 100.

Identifies the next page of results to return.

A list containing the properties of each job returned.

The response's http status code.

The identifier of the job.

The identifier generated for the job. To get the status of job, use this identifier with the DescribeRxNormInferenceJob operation.

The response's http status code.

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

If the result of the previous request to DetectPHI was truncated, include the PaginationToken to fetch the next page of PHI entities.

The response's http status code.

The collection of PHI 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 its detection.

The version of the model used to analyze the documents. The version number looks like X.X.X. You can use this information to track the model used for a particular batch of documents.

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

If the result to the DetectEntitiesV2 operation was truncated, include the PaginationToken to fetch the next page of entities.

Attributes extracted from the input text that couldn't be related to an entity.

The response's http status code.

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 in the detection and analysis. Attributes and traits of the entity are also returned.

The version of the model used to analyze the documents. The version number looks like X.X.X. You can use this information to track the model used for a particular batch of documents.

The identifier of the PHI detection job to stop.

The identifier of the PHI detection job that was stopped.

The response's http status code.

An AWS Key Management Service key to encrypt your output files. If you do not specify a key, the files are written in plain text.

The identifier of the job.

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend Medical generates one.

Specifies the format and location of the input data for the job.

Specifies where to send the output files.

The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend Medical read access to your input data. For more information, see Role-Based Permissions Required for Asynchronous Operations.

The language of the input documents. All documents must be in the same language.

The identifier generated for the job. To get the status of a job, use this identifier with the DescribeEntitiesDetectionV2Job operation.

The response's http status code.

Identifies the next page of results to return.

Filters the jobs that are returned. You can filter jobs based on their names, status, or the date and time that they were submitted. You can only set one filter at a time.

Identifies the next page of results to return.

Identifies the next page of results to return.

The maximum number of results to return in each page. The default is 100.

The response's http status code.

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

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.

The segment of input text extracted as this attribute.

The category of attribute.

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

Contextual information for this attribute.

The type of relationship between the entity and attribute. Type for the relationship is OVERLAP, indicating that the entity occurred at the same time as the Date_Expression.

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.

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

The type of attribute.

Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.

Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.

Filters on the name of the job.

Filters the list of jobs based on job status. Returns only jobs with the specified status.

The language code of the input documents.

The AWS Key Management Service key, if any, used to encrypt the output files.

The identifier assigned to the detection job.

The name that you assigned to the detection job.

The path to the file that describes the results of a batch job.

The input data configuration that you supplied when you created the detection job.

The time that the detection job completed.

The output data configuration that you supplied when you created the detection job.

The version of the model used to analyze the documents. The version number looks like X.X.X. You can use this information to track the model used for a particular batch of documents.

The Amazon Resource Name (ARN) that gives Amazon Comprehend Medical read access to your input data.

The current status of the detection job. If the status is FAILED, the Message field shows the reason for the failure.

A description of the status of a job.

The date and time that job metadata is deleted from the server. Output files in your S3 bucket will not be deleted. After the metadata is deleted, the job will no longer appear in the results of the ListEntitiesDetectionV2Job or the ListPHIDetectionJobs operation.

The time that the detection job was submitted for processing.

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 segment of input text extracted as this entity.

The category of the entity.

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

Contextual information for the entity.

The extracted attributes that relate to this entity.

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

Describes the specific type of entity with category of entities.

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

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.

The segment of input text which contains the detected attribute.

The category of attribute. Can be either of DX_NAME or TIME_EXPRESSION.

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

The contextual information for the attribute. The traits recognized by InferICD10CM are DIAGNOSIS, SIGN, SYMPTOM, and NEGATION.

The type of relationship between the entity and attribute. Type for the relationship can be either of OVERLAP or SYSTEM_ORGAN_SITE.

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.

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

The type of attribute. InferICD10CM detects entities of the type DX_NAME.

The level of confidence that Amazon Comprehend Medical has that the entity is accurately linked to an ICD-10-CM concept.

The ICD-10-CM code that identifies the concept found in the knowledge base from the Centers for Disease Control.

The long description of the ICD-10-CM code in the ontology.

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

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

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

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

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

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.

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

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 that the segment of text is correctly recognized as a trait.

Provides a name or contextual description about the trait.

The path to the input data files in the S3 bucket.

The URI of the S3 bucket that contains the input data. The bucket must be in the same region as the API endpoint that you are calling.

Each file in the document collection must be less than 40 KB. You can store a maximum of 30 GB in the bucket.

The path to the output data files in the S3 bucket. Amazon Comprehend Medical creates an output directory using the job ID so that the output from one job does not overwrite the output of another.

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output.

The level of confidence that Amazon Comprehend Medical has that the attribute is accurately linked to an entity.

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.

The segment of input text which corresponds to the detected attribute.

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

Contextual information for the attribute. InferRxNorm recognizes the trait NEGATION for attributes, i.e. that the patient is not taking a specific dose or form of a medication.

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.

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

The type of attribute. The types of attributes recognized by InferRxNorm are BRAND_NAME and GENERIC_NAME.

The level of confidence that Amazon Comprehend Medical has that the entity is accurately linked to the reported RxNorm concept.

RxNorm concept ID, also known as the RxCUI.

The description of the RxNorm concept.

The RxNorm concepts that the entity could refer to, along with a score indicating the likelihood of the match.

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 segment of input text extracted from which the entity was detected.

The category of the entity. The recognized categories are GENERIC or BRAND_NAME.

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

Contextual information for the entity.

The extracted attributes that relate to the entity. The attributes recognized by InferRxNorm are DOSAGE, DURATION, FORM, FREQUENCY, RATE, ROUTE_OR_MODE, and STRENGTH.

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

Describes the specific type of entity. For InferRxNorm, the recognized entity type is MEDICATION.

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

Provides a name or contextual description about the trait.

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

Provides a name or contextual description about the trait.

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

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