To tune the SNBN model parameters for a particular healthcare facility, we use a hill-climbing algorithm (5) over known positives from literature and a sample of patients (negative and, if available, positive) from that healthcare facility. The hillclimbing algorithm uses the 10-fold cross-validation area under the ROC curve as the metric to optimize.