A Bayesian Network Model for Diagnosis of Liver Disorders

This paper describes our work on a probabilistic causal model for diagnosis of liver disorders that we plan to apply in both clinical practice and medical training. The Bayesian network, and especially its numerical parameters, is based on data from a clinical database. We present the model and report the results of our diagnostic performance tests.