Learning from pathology databases to improve the laboratory diagnosis of infectious diseases

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationE-Health - 1st IMIA/IFIP Joint Symposium, E-Health 2010 Held as Part of WCC 2010, Proceedings
EditorsHiroshi Takeda, Hiroshi Takeda, Hiroshi Takeda
PublisherSpringer New York LLC
Pages226-227
Number of pages2
ISBN (Electronic)9783642155147
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event1st IMIA/IFIP Joint Symposium on E-Health, 2010 held as part of World Computer Congress, WCC 2010 - Brisbane, Australia
Duration: 20 Sept 201023 Sept 2010

Publication series

NameIFIP Advances in Information and Communication Technology
Volume335
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference1st IMIA/IFIP Joint Symposium on E-Health, 2010 held as part of World Computer Congress, WCC 2010
Country/TerritoryAustralia
CityBrisbane
Period20/09/1023/09/10

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