Assessing the anticholinergic cognitive burden classification of putative anticholinergic drugs using drug properties.
Journal:
British journal of clinical pharmacology
PMID:
38863280
Abstract
AIMS: This study evaluated the use of machine learning to leverage drug absorption, distribution, metabolism and excretion (ADME) data together with physicochemical and pharmacological data to develop a novel anticholinergic burden scale and compare its performance to previously published scales.