lungbayesdemo

  Title: "Modeling Lung Cancer Diagnosis Using Bayesian Network Inference" This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm. Introduction: Bayesian networks (or belief networks) are probabilistic graphical models representing a set of variables and their dependencies. The graphical nature of Bayesian networks and the ability of describing uncertainty of complex relationships in a compact manner provide a method for modelling almost any type of data.