Figure 1. Causal inference of MCI by Bayesian network analysis. Bayesian network approach detected the hypothesized causal-association diagram between MCI and exposure variables, and the importance of exposure variables. The magnitude of values presented at each node denote the importance of exposure variables. In other words, the higher magnitude the value is, more important the variable. Meanwhile, the importance of variables was visualized via the gradual changes of color of nodes.