BCPNNBayesian Confidence Propagation Neural Network
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In this field, commonly used analysis methods include proportional ADR reporting ratio, reporting odds ratio, Bayesian Confidence Propagation Neural Network (BCPNN), empirical Bayesian Gamma Poisson Shrinker, etc .[sup][4] The WHO's Uppsala International Drug Monitoring Collaboration Center used BCPNN to analyze, by which they identified a number of ADRs, such as identification of acidosis and esophagitis as the most common adverse reaction of alendronate sodium and confirmation the association between pericarditis and practolol.[sup][4]
The MGPS method is in use by FAERS and Bayesian Confidence Propagation Neural Network (BCPNN) (Bate et al.,1998)(Andrew et a., 2002) is based on Bayesian logic where the relation between the prior and posterior probability was expressed as the "information component (IC)".
A method called Bayesian confidence propagation neural network (BCPNN) implements Bayesian statistics within a neural network architecture to search for previously unknown higher order dependencies in the data set (Andrew et al.,2002).