Source code for tooluniverse.tools.FAERS_count_additive_seriousness_classification

"""
FAERS_count_additive_seriousness_classification

Quantify serious vs non-serious classifications across medicinal products. Only medicinalproducts...
"""

from typing import Any, Optional, Callable
from ._shared_client import get_shared_client


[docs] def FAERS_count_additive_seriousness_classification( medicinalproducts: list[Any], patientsex: Optional[str] = None, patientagegroup: Optional[str] = None, occurcountry: Optional[str] = None, *, stream_callback: Optional[Callable[[str], None]] = None, use_cache: bool = False, validate: bool = True, ) -> Any: """ Quantify serious vs non-serious classifications across medicinal products. Only medicinalproducts... Parameters ---------- medicinalproducts : list[Any] Array of medicinal product names. patientsex : str Optional: Filter by patient sex. Omit this parameter if you don't want to fil... patientagegroup : str Optional: Filter by patient age group. Omit this parameter if you don't want ... occurcountry : str Optional: Filter by country where event occurred (ISO2 code, e.g., 'US', 'GB'... stream_callback : Callable, optional Callback for streaming output use_cache : bool, default False Enable caching validate : bool, default True Validate parameters Returns ------- Any """ # Handle mutable defaults to avoid B006 linting error return get_shared_client().run_one_function( { "name": "FAERS_count_additive_seriousness_classification", "arguments": { "medicinalproducts": medicinalproducts, "patientsex": patientsex, "patientagegroup": patientagegroup, "occurcountry": occurcountry, }, }, stream_callback=stream_callback, use_cache=use_cache, validate=validate, )
__all__ = ["FAERS_count_additive_seriousness_classification"]