Research Output
An advisory system for the treatment of kidney stones.
  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.

  • Type:

    Conference Paper (unpublished)

  • Date:

    01 May 2005

  • Publication Status:


  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006.3 Artificial intelligence


Hardy, J., & Armitage, A. (2005, May). An advisory system for the treatment of kidney stones. Paper presented at Natural Computing Applications Forum



Kidney stones; Shock Wave Lithotripsy; neural networks;

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