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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2328/9634
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| 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
http://hdl.handle.net/2328/9634 |
| ISBN: | 9781920682514 |
| Appears in Collections: | 0801 - Artificial Intelligence and Image Processing
0806 - Information Systems
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