Learning from Pathology Databases to Improve the Laboratory Diagnosis of Infectious Diseases

摘要

This paper investigates the effect of data pre-processing and the use of ensemble on the accuracy of decision trees. The methodology is illustrated using a previously unanalysed data set from ACT Pathology (Canberra, Australia) relating to Hepatitis B and Hepatitis C patients.