Ai-driven Explainable Machine Learning for Adverse Drug Reaction Prediction Using Graph-based Pharmacovigilance Signals
Year: 2025
Type: article
Abstract: Predicting adverse drug reactions (ADRs) with explainable AI using Graph Neural Networks (GNNs) is what this study offers.The model does a superior prediction performance by integrating heterogeneous pharmacovigilance data and generating interpretable subgraphs.The basis of the risk estimation is patient specific and can unravel ADR causal pathways based on biological and pharmacological mechanisms.
Author: Gangadhar Vasanthapuram
Language: English
Subfield: Toxicology
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4409521583