Bayesian Networks (BNs) represent a probabilistic graphical model of relationships among variables of interest that can be used for classifying data, identifying causal relationships and predicting output/outcome, also known as belief networks or cause-effect relationships.
The Bayesian probability is defined as the degree of belief in a particular event while classical probability evaluates the true or physical probability of an event. Continue reading “Bayesian Networks in Medicine” »