COMPARING BAYESIAN NETWORK, ARTIFICIAL NEURAL NETWORKS, CLASSIFICATION TREES AND CLASSICAL LOGISTIC MODELS IN QUANTITATIVE RISK ASSESSMENT: AN APPLICATION TO THE EUROPEAN REGISTRY OF FOREIGN BODY INJURIES IN CHILDREN