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Infer Icd10cm

comprehendmedical_infer_icd10cm R Documentation

Description

InferICD10CM detects medical conditions as entities listed in a patient record and links those entities to normalized concept identifiers in the ICD-10-CM knowledge base from the Centers for Disease Control. Amazon Comprehend Medical only detects medical entities in English language texts.

Usage

comprehendmedical_infer_icd10cm(Text)

Arguments

Text

[required] The input text used for analysis.

Value

A list with the following syntax: 

list(
  Entities = list(
    list(
      Id = 123,
      Text = "string",
      Category = "MEDICAL_CONDITION",
      Type = "DX_NAME"|"TIME_EXPRESSION",
      Score = 123.0,
      BeginOffset = 123,
      EndOffset = 123,
      Attributes = list(
        list(
          Type = "ACUITY"|"DIRECTION"|"SYSTEM_ORGAN_SITE"|"QUALITY"|"QUANTITY"|"TIME_TO_DX_NAME"|"TIME_EXPRESSION",
          Score = 123.0,
          RelationshipScore = 123.0,
          Id = 123,
          BeginOffset = 123,
          EndOffset = 123,
          Text = "string",
          Traits = list(
            list(
              Name = "NEGATION"|"DIAGNOSIS"|"SIGN"|"SYMPTOM"|"PERTAINS_TO_FAMILY"|"HYPOTHETICAL"|"LOW_CONFIDENCE",
              Score = 123.0
            )
          ),
          Category = "DX_NAME"|"TIME_EXPRESSION",
          RelationshipType = "OVERLAP"|"SYSTEM_ORGAN_SITE"|"QUALITY"
        )
      ),
      Traits = list(
        list(
          Name = "NEGATION"|"DIAGNOSIS"|"SIGN"|"SYMPTOM"|"PERTAINS_TO_FAMILY"|"HYPOTHETICAL"|"LOW_CONFIDENCE",
          Score = 123.0
        )
      ),
      ICD10CMConcepts = list(
        list(
          Description = "string",
          Code = "string",
          Score = 123.0
        )
      )
    )
  ),
  PaginationToken = "string",
  ModelVersion = "string"
)

Request syntax

svc$infer_icd10cm(
  Text = "string"
)