Adverse Event Tools¶
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 Tools¶
AdverseEventICDMapper (Type: AgenticTool)¶
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)¶
Generates a set of personalized adverseāevent prediction questions for a given disease and drug, ā¦
AdverseEventPredictionQuestionGenerator tool specification
Tool Information:
Name:
AdverseEventPredictionQuestionGenerator
Type:
AgenticTool
Description: Generates a set of personalized adverseāevent prediction questions for a given disease and drug, across multiple patient subgroups.
Parameters:
disease_name
(string) (required) The name of the disease or conditiondrug_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)¶
Generates a set of personalized adverseāevent prediction questions for a given disease and drug, ā¦
AdverseEventPredictionQuestionGeneratorWithContext tool specification
Tool Information:
Name:
AdverseEventPredictionQuestionGeneratorWithContext
Type:
AgenticTool
Description: Generates a set of personalized adverseāevent 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 conditiondrug_name
(string) (required) The name of the drugcontext_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)