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

Explores the potential for the application of neurocomputing in on-line monitoring in the liver transplantation domain. It extends the authors´ previously documented work to provide both an assessment of the performance gains 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 linear and nonlinear classification system is made and used to motivate the final selection of the diagnostic inputs.