Author(s): Wasyluk H, Oniko A, Druzdzel MJ
Abstract Share this page
Abstract We describe our work on HEPAR II, a probabilistic causal model for diagnosis of liver disorders. The model, a Bayesian network capturing the causal interactions among various risk factors, diseases, symptoms, and test results, is based on expert knowledge combined with clinical data captured in medical records. The main applications of HEPAR II are assistance is diagnosis and training of beginning diagnosticians. We outline the principles of the applied approach, present a brief description of the model, and report its diagnostic performance.
This article was published in Med Sci Monit
and referenced in Industrial Engineering & Management