Fig. 2From: A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urologyAnalysis of Expert Systems (ES) by models (n = 169). ANN was the most common but other systems were applied on different domain as fuzzy neural model (FNM), rule-based system (RBS), fuzzy rule based (FRB), support vector machine (SVT), Bayesian network (BN) and decision trees (DT)Back to article page