Abstract
The rough set approach has been applied to analyse a multistage decision process concerning the treatment of acute pancreatitis with peritoneal lavage. The clinical experience has been represented by two kinds of information systems: system A, classifying patients described by pre-lavage attributes, and five systems B classifying patients described by attributes of the course of multistage lavage. From the medical point of view, the analysis of these information systems has aimed at identifying subsets of the most important attributes for results of the patient’s treatment and discovery of decision rules representing cause-and-effect dependencies between attributes. Achieving these aims have been facilitated by using two following rough set based strategies: adding to the core the attributes of the highest increase of discriminatory power and approach to inducing the satisfactory set of strong decision rules.
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Słowiński, K., Stefanowski, J. (1998). Multistage Rough Set Analysis of Therapeutic Experience with Acute Pancreatitis. In: Polkowski, L., Skowron, A. (eds) Rough Sets in Knowledge Discovery 2. Studies in Fuzziness and Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1883-3_14
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DOI: https://doi.org/10.1007/978-3-7908-1883-3_14
Publisher Name: Physica, Heidelberg
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