Building a Bayesian network model of heart disease
Jayanta K. Ghosh, Marco Valtorta · 2000
Bayesian networks [2] represent a promising technique for clinical decision support and provide powerful capabilities for representing uncertain knowledge, including a flexible representation of probability distributions that allows one to specify dependence and independence of variables in a natural way through the network topology. Because dependencies are expressed qualitatively as links between nodes, one can structure the domain knowledge qualitatively before any numeric probabilities need to be assigned.