2.2.1 Defining the nodes. The first step to structure the BN model was defining a set of random variables (nodes) and their states, which can be discrete or continuous. Discrete variables have a limited set of fixed values or states that they can take. Continuous variables are classified as real numbers since they may have any value within a certain range [62]. Continuous variables were discretized by breaking them up into intervals by assigning thresholds to define each interval.
