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Metabolic syndrome is a cluster of conditions that occur together, increasing the risk of heart disease, stroke, and type 2 diabetes. This project uses an explorative approach with Bayesian networks to investigate the probabilistic dependencies among these conditions. By modeling these relationships, we can gain a better understanding.