A Probabilistic Causal Model for Diagnosis of Liver Disorders
Agnieszka Oniśko, Marek J. Drużdżel, Hanna Wasyluk, Agnieszka Oniśko · 2005
Directed probabilistic graphs, such as Bayesian networks, are useful tools for coherent representation of and reasoning with uncertain knowledge. They are based on the sound foundations of probability theory and they readily combine available statistics with expert judgment. When extended with decision options and measures of desirability of outcomes (utilities), they support decision making.