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On Limitations of Using Rough Set Approach to Analyse Non-Trivial Medical Information Systems
BibTeX
@MISC{Slowinski_onlimitations,
author = {Krzysztof Slowinski and Jerzy Stefanowski},
title = {On Limitations of Using Rough Set Approach to Analyse Non-Trivial Medical Information Systems},
year = {}
}
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Abstract
The rough set theory has been used to analyse medical experience with urolithiasis patients treated by extracorporeal shock wave lithotripsy (ESWL). The aim of this analysis was to evaluate the significance of attributes for two classifications expressing the patients' condition after the ESWL treatment and to discover strong decision rules representing classification patterns interesting for practitioners. The ESWL information system is an example of non-trivial medical data set where the use of a simple rough set model gives a high number of possible reducts which are impossible to interpret. Two heuristic strategies based on the rough set theory are proposed. They lead to the selection of the most significant attributes having a good clinical interpretation. Inducing only discriminating decision rules do not give good interpretation results - rules are weak and too specific. Discovery of partly discriminating rules allows to extract strong classification patterns. 1 Introduction Me...
Keyphrases
using rough set approach analyse non-trivial medical information system rough set theory significant attribute classification pattern non-trivial medical data set eswl information system strong decision rule high number urolithiasis patient possible reducts good clinical interpretation decision rule extracorporeal shock strong classification pattern simple rough medical experience good interpretation result rule heuristic strategy eswl treatment
