Hygnn: Drug-drug interaction prediction via hypergraph neural network
KM Saifuddin, B Bumgardner, F Tanvir… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
Drug-Drug Interactions (DDIs) may hamper the functionalities of drugs, and in the worst
scenario, they may lead to adverse drug reactions (ADRs). Predicting all DDIs is a …
scenario, they may lead to adverse drug reactions (ADRs). Predicting all DDIs is a …
Leveraging machine learning to facilitate individual case causality assessment of adverse drug reactions
Y Cherkas, J Ide, J van Stekelenborg - Drug Safety, 2022 - Springer
Introduction Causality assessment of individual case safety reports (ICSRs) is an important
step in pharmacovigilance case-level review and aims to establish a position on whether a …
step in pharmacovigilance case-level review and aims to establish a position on whether a …