Abstract
The medical experience with urolithiasis patients treated by the extracorporeal shock wave lithotripsy (ESWL) is analysed using the rough set approach. The evaluation of the significance of attributes for qualifying patients to the ESWL treatment is the most important problem for the clinical practice. The use of a simple rough set model gives a high number of possible reducts which are difficult to interpret. So, the heuristic strategies based on the rough set theory are proposed to select the most significant attributes. All these strategies lead to similar results having a good clinical interpretation.
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Stefanowski, J., Słowiński, K. (1997). Rough Sets as a Tool for Studying Attribute Dependencies in the Urinary Stones Treatment Data Set. In: Rough Sets and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1461-5_10
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DOI: https://doi.org/10.1007/978-1-4613-1461-5_10
Publisher Name: Springer, Boston, MA
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