Developing a Bayesian Network for Clinical Diagnosis in Veterinary Medicine : from the Individual to the Herd

In close collaboration with two experts, we are building a Bayesian network for the early detection of classical swine fever in pigs. Although our network will ultimately be tailored to detecting the disease in pig herds, we decided to begin with modelling the pathogenesis of the disease in the individual animal. Having modelled the patterns of classical swine fever observed in individuals, we now are in the process of rendering our network applicable to herds. Upon doing so, we are confronted with various intriguing modelling issues. As an example, we focus in this paper on the issue of modelling diverging knowledge that pertains to the different types of pig in a herd.