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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/9634

Title: Establishing a lineage for medical knowledge discovery
Authors: Roddick, John Francis
Shillabeer, Annette
Issue Date: 2007
Publisher: Australian Computer Society Inc
Citation: Shillabeer, 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.
Abstract: Medical 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.
URI: http://crpit.com/abstracts/CRPITV70Shillabeer.html
ISBN: 9781920682514
Appears in Collections:0801 - Artificial Intelligence and Image Processing
0801 - Artificial Intelligence and Image Processing
0806 - Information Systems

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