Adverse Event ToolsĀ¶

Configuration File: adverse_event_tools.json Tool Type: Local Tools Count: 3

This page contains all tools defined in the adverse_event_tools.json configuration file.

Available ToolsĀ¶

AdverseEventICDMapper (Type: AgenticTool)Ā¶

Extracts adverse events from narrative clinical or pharmacovigilance text and maps each event to ā€¦

AdverseEventICDMapper tool specification

Tool Information:

  • Name: AdverseEventICDMapper

  • Type: AgenticTool

  • Description: Extracts adverse events from narrative clinical or pharmacovigilance text and maps each event to the most specific ICD-10-CM code.

Parameters:

  • source_text (string) (required) Unstructured narrative text that may mention adverse events.

Example Usage:

query = {
    "name": "AdverseEventICDMapper",
    "arguments": {
        "source_text": "example_value"
    }
}
result = tu.run(query)

AdverseEventPredictionQuestionGenerator (Type: AgenticTool)Ā¶

Generates a set of personalized adverseā€event prediction questions for a given disease and drug, ā€¦

AdverseEventPredictionQuestionGenerator tool specification

Tool Information:

  • Name: AdverseEventPredictionQuestionGenerator

  • Type: AgenticTool

  • Description: Generates a set of personalized adverseā€event prediction questions for a given disease and drug, across multiple patient subgroups.

Parameters:

  • disease_name (string) (required) The name of the disease or condition

  • drug_name (string) (required) The name of the drug

Example Usage:

query = {
    "name": "AdverseEventPredictionQuestionGenerator",
    "arguments": {
        "disease_name": "example_value",
        "drug_name": "example_value"
    }
}
result = tu.run(query)

AdverseEventPredictionQuestionGeneratorWithContext (Type: AgenticTool)Ā¶

Generates a set of personalized adverseā€event prediction questions for a given disease and drug, ā€¦

AdverseEventPredictionQuestionGeneratorWithContext tool specification

Tool Information:

  • Name: AdverseEventPredictionQuestionGeneratorWithContext

  • Type: AgenticTool

  • Description: Generates a set of personalized adverseā€event prediction questions for a given disease and drug, incorporating additional context information such as patient medical history, clinical findings, or research data.

Parameters:

  • disease_name (string) (required) The name of the disease or condition

  • drug_name (string) (required) The name of the drug

  • context_information (string) (required) Additional context information such as patient medical history, clinical findings, research data, or other relevant background information that should inform the adverse event prediction questions

Example Usage:

query = {
    "name": "AdverseEventPredictionQuestionGeneratorWithContext",
    "arguments": {
        "disease_name": "example_value",
        "drug_name": "example_value",
        "context_information": "example_value"
    }
}
result = tu.run(query)