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dc.contributor.authorRoddick, John Francis
dc.contributor.authorShillabeer, Annette
dc.date.accessioned2010-07-27T05:57:56Z
dc.date.available2010-07-27T05:57:56Z
dc.date.issued2007en_US
dc.identifier.citationShillabeer, A. & Roddick, J.F., 2007. Establishing a lineage for medical knowledge discovery. Data Mining and Analytics 2007: Proceedings of the 6th Australasian Data Mining Conference (AusDM 2007), 70, 29-37.en
dc.identifier.isbn978-1920682514
dc.identifier.urihttp://hdl.handle.net/2328/9634
dc.identifier.urihttp://crpit.com/abstracts/CRPITV70Shillabeer.html
dc.description.abstractMedical science has a long history characterised by incidents of extraordinary insights that have resulted in a paradigm shift in the methodologies and approaches used and have moved the discipline forward. While knowledge discovery has much to offer medicine, it cannot be done in ignorance of either this history or the norms of modern medical investigation. This paper explores the lineage of medical knowledge acquisition and discusses the adverse perceptions that data mining techniques will have to surmount to gain acceptance.en
dc.publisherAustralian Computer Societyen
dc.relation.ispartofseries6th Australasian Data Mining Conference (AusDM 2007)en
dc.titleEstablishing a lineage for medical knowledge discoveryen
dc.typeConference paperen
dc.identifier.rmid2006006281
dc.description.noteSydney, NSWen
dc.subject.forgroup0801 Artificial Intelligence and Image Processingen
dc.subject.forgroup0806 Information Systemsen
dc.rights.licenseIn Copyright
local.contributor.authorOrcidLookupRoddick, John Francis: https://orcid.org/0000-0001-7024-0796en_US


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