Fda Drug Adverse Event Tools

Configuration File: fda_drug_adverse_event_tools.json Tool Type: Local Tools Count: 15

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

Available Tools

FAERS_count_additive_administration_routes (Type: FDACountAdditiveReactionsTool)

Additive multi-drug data: Enumerate and count administration routes for adverse events across spe…

FAERS_count_additive_administration_routes tool specification

Tool Information:

• Name: FAERS_count_additive_administration_routes

• Type: FDACountAdditiveReactionsTool

• Description: Additive multi-drug data: Enumerate and count administration routes for adverse events across specified medicinal products, using standardized route codes. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproducts (array) (required) Array of medicinal product names.

• serious (string) (optional) Filter by seriousness.

Example Usage:

query = {
    "name": "FAERS_count_additive_administration_routes",
    "arguments": {
        "medicinalproducts": ["item1", "item2"]
    }
}
result = tu.run(query)

FAERS_count_additive_adverse_reactions (Type: FDACountAdditiveReactionsTool)

Additive multi-drug data: Aggregate adverse reaction counts across specified medicinal products, …

FAERS_count_additive_adverse_reactions tool specification

Tool Information:

• Name: FAERS_count_additive_adverse_reactions

• Type: FDACountAdditiveReactionsTool

• Description: Additive multi-drug data: Aggregate adverse reaction counts across specified medicinal products, stratified by demographics, seriousness, and outcomes. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproducts (array) (required) Array of medicinal product names.

• patientsex (string) (optional) Filter by patient sex.

• patientagegroup (string) (optional) Filter by patient age group.

• occurcountry (string) (optional) Filter by ISO2 country code of occurrence.

• serious (string) (optional) Filter by seriousness classification.

• seriousnessdeath (string) (optional) Filter for fatal outcomes.

Example Usage:

query = {
    "name": "FAERS_count_additive_adverse_reactions",
    "arguments": {
        "medicinalproducts": ["item1", "item2"]
    }
}
result = tu.run(query)

FAERS_count_additive_event_reports_by_country (Type: FDACountAdditiveReactionsTool)

Additive multi-drug data: Aggregate report counts by country of occurrence across specified medic…

FAERS_count_additive_event_reports_by_country tool specification

Tool Information:

• Name: FAERS_count_additive_event_reports_by_country

• Type: FDACountAdditiveReactionsTool

• Description: Additive multi-drug data: Aggregate report counts by country of occurrence across specified medicinal products. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproducts (array) (required) Array of medicinal product names.

• patientsex (string) (optional) Filter by sex.

• patientagegroup (string) (optional) Filter by age group.

• serious (string) (optional) Filter by seriousness.

Example Usage:

query = {
    "name": "FAERS_count_additive_event_reports_by_country",
    "arguments": {
        "medicinalproducts": ["item1", "item2"]
    }
}
result = tu.run(query)

FAERS_count_additive_reaction_outcomes (Type: FDACountAdditiveReactionsTool)

Additive multi-drug data: Determine reaction outcome counts (e.g., recovered, resolving, fatal) a…

FAERS_count_additive_reaction_outcomes tool specification

Tool Information:

• Name: FAERS_count_additive_reaction_outcomes

• Type: FDACountAdditiveReactionsTool

• Description: Additive multi-drug data: Determine reaction outcome counts (e.g., recovered, resolving, fatal) across medicinal products using standardized outcome mappings. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproducts (array) (required) Array of medicinal product names.

• patientsex (string) (optional) No description

• patientagegroup (string) (optional) No description

• occurcountry (string) (optional) No description

Example Usage:

query = {
    "name": "FAERS_count_additive_reaction_outcomes",
    "arguments": {
        "medicinalproducts": ["item1", "item2"]
    }
}
result = tu.run(query)

FAERS_count_additive_reports_by_reporter_country (Type: FDACountAdditiveReactionsTool)

Additive multi-drug data: Aggregate adverse event reports by primary reporter country across medi…

FAERS_count_additive_reports_by_reporter_country tool specification

Tool Information:

• Name: FAERS_count_additive_reports_by_reporter_country

• Type: FDACountAdditiveReactionsTool

• Description: Additive multi-drug data: Aggregate adverse event reports by primary reporter country across medicinal products. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproducts (array) (required) Array of medicinal product names.

• patientsex (string) (optional) Filter by sex.

• patientagegroup (string) (optional) Filter by age group.

• serious (string) (optional) Filter by seriousness.

Example Usage:

query = {
    "name": "FAERS_count_additive_reports_by_reporter_country",
    "arguments": {
        "medicinalproducts": ["item1", "item2"]
    }
}
result = tu.run(query)

FAERS_count_additive_seriousness_classification (Type: FDACountAdditiveReactionsTool)

Additive multi-drug data: Quantify serious vs non-serious classifications across medicinal produc…

FAERS_count_additive_seriousness_classification tool specification

Tool Information:

• Name: FAERS_count_additive_seriousness_classification

• Type: FDACountAdditiveReactionsTool

• Description: Additive multi-drug data: Quantify serious vs non-serious classifications across medicinal products, annotated per regulatory definitions. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproducts (array) (required) Array of medicinal product names.

• patientsex (string) (optional) Filter by sex.

• patientagegroup (string) (optional) Filter by age group.

• occurcountry (string) (optional) ISO2 country code filter.

Example Usage:

query = {
    "name": "FAERS_count_additive_seriousness_classification",
    "arguments": {
        "medicinalproducts": ["item1", "item2"]
    }
}
result = tu.run(query)

FAERS_count_country_by_drug_event (Type: FDADrugAdverseEventTool)

Count the number of adverse event reports per country of occurrence, filtered by drug, patient de…

FAERS_count_country_by_drug_event tool specification

Tool Information:

• Name: FAERS_count_country_by_drug_event

• Type: FDADrugAdverseEventTool

• Description: Count the number of adverse event reports per country of occurrence, filtered by drug, patient demographics, and seriousness. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproduct (string) (optional) Drug name.

• patientsex (string) (optional) Patient sex, leave it blank if you don’t want to apply a filter.

• patientagegroup (string) (optional) Patient age group.

• serious (string) (optional) Whether the event was serious.

Example Usage:

query = {
    "name": "FAERS_count_country_by_drug_event",
    "arguments": {
    }
}
result = tu.run(query)

FAERS_count_death_related_by_drug (Type: FDADrugAdverseEventTool)

Count adverse events associated with patient death for a given drug. Data source: FDA Adverse Eve…

FAERS_count_death_related_by_drug tool specification

Tool Information:

• Name: FAERS_count_death_related_by_drug

• Type: FDADrugAdverseEventTool

• Description: Count adverse events associated with patient death for a given drug. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproduct (string) (required) Drug name.

Example Usage:

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

FAERS_count_drug_routes_by_event (Type: FDADrugAdverseEventTool)

Count the most common routes of administration for drugs involved in adverse event reports. Data …

FAERS_count_drug_routes_by_event tool specification

Tool Information:

• Name: FAERS_count_drug_routes_by_event

• Type: FDADrugAdverseEventTool

• Description: Count the most common routes of administration for drugs involved in adverse event reports. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproduct (string) (required) Drug name.

• serious (string) (optional) Seriousness of event.

Example Usage:

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

FAERS_count_drugs_by_drug_event (Type: FDADrugAdverseEventTool)

Count the number of different drugs involved in FDA adverse event reports, filtered by patient de…

FAERS_count_drugs_by_drug_event tool specification

Tool Information:

• Name: FAERS_count_drugs_by_drug_event

• Type: FDADrugAdverseEventTool

• Description: Count the number of different drugs involved in FDA adverse event reports, filtered by patient details, country, and seriousness. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• patientsex (string) (optional) Patient sex, leave it blank if you don’t want to apply a filter.

• patientagegroup (string) (optional) Patient age group.

• occurcountry (string) (optional) Country where event occurred.

• serious (string) (optional) Whether the event was serious.

Example Usage:

query = {
    "name": "FAERS_count_drugs_by_drug_event",
    "arguments": {
    }
}
result = tu.run(query)

FAERS_count_outcomes_by_drug_event (Type: FDADrugAdverseEventTool)

Count the outcome of adverse reactions (recovered, recovering, fatal, unresolved) filtered by dru…

FAERS_count_outcomes_by_drug_event tool specification

Tool Information:

• Name: FAERS_count_outcomes_by_drug_event

• Type: FDADrugAdverseEventTool

• Description: Count the outcome of adverse reactions (recovered, recovering, fatal, unresolved) filtered by drug, seriousness, and demographics. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproduct (string) (required) Drug name.

• patientsex (string) (optional) No description

• patientagegroup (string) (optional) No description

• occurcountry (string) (optional) No description

Example Usage:

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

FAERS_count_patient_age_distribution (Type: FDADrugAdverseEventTool)

Analyze the age distribution of patients experiencing adverse events for a specific drug. The age…

FAERS_count_patient_age_distribution tool specification

Tool Information:

• Name: FAERS_count_patient_age_distribution

• Type: FDADrugAdverseEventTool

• Description: Analyze the age distribution of patients experiencing adverse events for a specific drug. The age groups are: Neonate (0-28 days), Infant (29 days - 23 months), Child (2-11 years), Adolescent (12-17 years), Adult (18-64 years), Elderly (65+ years). Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproduct (string) (required) Drug name.

Example Usage:

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

FAERS_count_reactions_by_drug_event (Type: FDADrugAdverseEventTool)

Count the number of adverse reactions reported for a given drug, filtered by patient details, eve…

FAERS_count_reactions_by_drug_event tool specification

Tool Information:

• Name: FAERS_count_reactions_by_drug_event

• Type: FDADrugAdverseEventTool

• Description: Count the number of adverse reactions reported for a given drug, filtered by patient details, event seriousness, and reaction outcomes. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproduct (string) (required) Drug name.

• patientsex (string) (optional) Patient sex, leave it blank if you don’t want to apply a filter.

• patientagegroup (string) (optional) Patient age group.

• occurcountry (string) (optional) Country where event occurred.

• serious (string) (optional) Whether the event was serious.

• seriousnessdeath (string) (optional) Was death reported?

Example Usage:

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

FAERS_count_reportercountry_by_drug_event (Type: FDADrugAdverseEventTool)

Count the number of FDA adverse event reports grouped by the country of the primary reporter. Dat…

FAERS_count_reportercountry_by_drug_event tool specification

Tool Information:

• Name: FAERS_count_reportercountry_by_drug_event

• Type: FDADrugAdverseEventTool

• Description: Count the number of FDA adverse event reports grouped by the country of the primary reporter. Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproduct (string) (optional) Drug name.

• patientsex (string) (optional) Patient sex, leave it blank if you don’t want to apply a filter.

• patientagegroup (string) (optional) Patient age group.

• serious (string) (optional) Whether the event was serious.

Example Usage:

query = {
    "name": "FAERS_count_reportercountry_by_drug_event",
    "arguments": {
    }
}
result = tu.run(query)

FAERS_count_seriousness_by_drug_event (Type: FDADrugAdverseEventTool)

Count the number of adverse event reports classified as serious or non-serious, filtered by drug …

FAERS_count_seriousness_by_drug_event tool specification

Tool Information:

• Name: FAERS_count_seriousness_by_drug_event

• Type: FDADrugAdverseEventTool

• Description: Count the number of adverse event reports classified as serious or non-serious, filtered by drug and patient demographics. In results, term Serious means: ‘The adverse event resulted in death, a life threatening condition, hospitalization, disability, congenital anomaly, or other serious condition’, term Non-serious means ‘The adverse event did not result in any of the above’ Data source: FDA Adverse Event Reporting System (FAERS).

Parameters:

• medicinalproduct (string) (optional) Drug name.

• patientsex (string) (optional) Patient sex, leave it blank if you don’t want to apply a filter.

• patientagegroup (string) (optional) Patient age group.

• occurcountry (string) (optional) Country where event occurred.

Example Usage:

query = {
    "name": "FAERS_count_seriousness_by_drug_event",
    "arguments": {
    }
}
result = tu.run(query)

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