The Bayesian Confidence Propagation Neural Network (BCPNN) is a statistical signal detection method used in pharmacovigilance to identify potential drug adverse event associations.
BCPNN applies Bayesian modeling to large safety databases to detect disproportionate reporting patterns. It supports post-marketing surveillance and risk identification. Regulators and sponsors use BCPNN analyses to inform safety labeling and mitigation strategies.