European journal of clinical pharmacology
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Eur. J. Clin. Pharmacol. · Sep 2020
Comparative StudyBorrowing external information to improve Bayesian confidence propagation neural network.
A Bayesian confidence propagation neural network (BCPNN) is a signal detection method used by the World Health Organization Uppsala Monitoring Centre to analyze spontaneous reporting system databases. We modify the BCPNN to increase its sensitivity for detecting potential adverse drug reactions (ADRs). ⋯ The proposed method is a novel criterion for early detection of signals if similar drugs have the same tendencies. The proposed BCPNN tends to have higher sensitivity when the true difference is greater than 0.