Neuro-computing versus linear statistical techniques applied to liver transplant monitoring: A comparative study

This paper explores the potential for the application of neurocomputing in on-line monitoring in the liver transplantation domain. It extends our prev iously documented work to provide both an assessment of the performance gai ns achievable by incorporating temporal and dynamical information about the measurements made on a patient as well as presenting a novel computerized clinical decision aid for this domain. A comparison of the performance of l inear and nonlinear classification system is made and used to motivate the final selection of the diagnostic inputs.