Abstract
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.
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© 2010 IFIP
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Richardson, A., Shadabi, F., Lidbury, B.A. (2010). Learning from Pathology Databases to Improve the Laboratory Diagnosis of Infectious Diseases. In: Takeda, H. (eds) E-Health. E-Health 2010. IFIP Advances in Information and Communication Technology, vol 335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15515-4_25
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DOI: https://doi.org/10.1007/978-3-642-15515-4_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15514-7
Online ISBN: 978-3-642-15515-4
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