Pharmacology & ToxicologyBriefings in BioinformaticsPeer-reviewed
Contrastive learning of adverse events to provide effective and interpretable vector representations for machine-assisted pharmacovigilance
Olivér M. Balogh, Mátyás Pétervári, Áron Márk Csernák…·Bence Ágg
This paper develops interpretable adverse event vector representations using contrastive learning for pharmacovigilance, outperforming existing methods in drug-event causality prediction.
DOI 10.1093/bib/bbag463