A Bayesian network model for diagnosis of liver disorders

Authors:

Agnieszka Onisko
Leon Bobrowski
Bialystok University of Technology
Institute of Computer Science
Bialystok, 15-351, Poland
e-mail: aonisko@ii.pb.bialystok.pl
leon@ii.pb.bialystok.pl

Marek J. Druzdzel
Decision Systems Laboratory
School of Information Sciences
and Intelligent Systems Program
University of Pittsburgh
e-mail: marek@sis.pitt.edu

Hanna Wasyluk
The Medical Center of Postgraduate Education
Warsaw, Marymoncka 99, Poland
e-mail: hwasyluk@cmkp.edu.pl

Abstract:

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.