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An advisory system for the treatment of kidney stones.

Hardy, Judy and Armitage, Alistair (2005) An advisory system for the treatment of kidney stones. In: Natural Computing Applications Forum, 2005 May, York. (Unpublished)

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    Abstract/Description

    Kidney stones can be treated by a number of methods, some more invasive than others. Increasingly, Shock Wave Lithotripsy (a non-invasive technique) is used in preference to surgery. However, the kidney stones can recur. This study was done in conjunction with the Scottish Lithotripsy Centre. Approximately 1500 records detailing treatment were analysed. the intention was to see if a system could be developed to predict the outcome of treatment. Neural networks proved to be more successful than standard statistical techniques (logistic regression). The corrct outcome could be predicted 70-80% of the time. A brief comparison is made with results produced by other workers in this area. Some interesting insights into the factors affecting predicability were gained.

    Item Type: Conference or Workshop Item (Paper)
    Additional Information: An advisory system for the treatment of kidney stones
    Uncontrolled Keywords: Kidney stones; Shock Wave Lithotripsy; neural networks;
    University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
    Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 006 Special Computer Methods > 006.3 Artificial intelligence
    Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Item ID: 3393
    Depositing User: Computing Research
    Date Deposited: 28 Apr 2010 14:49
    Last Modified: 12 Jan 2011 04:53
    URI: http://researchrepository.napier.ac.uk/id/eprint/3393

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