1997
DOI: 10.1007/3-540-63223-9_104
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Rough set theory and rule induction techniques for discovery of attribute dependencies in medical information systems

Abstract: A b s t r a c t . Problems connected with applications of the rough set theory to identify the most important attributes and with induction of decision rules from the medical data set are discussed in this paper. The medical data set concerns patients with multiple injuries. The direct use of the original rough set model leads to finding too many possibilities of reducing the input data. To solve this difficulty, a new approach integrating rough set theory, rule induction and statistical techniques is introduc… Show more

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Cited by 13 publications
(5 citation statements)
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“…A prediction system according to which the risk of Glaucoma can be assessed was developed by Alcantud et al [19]. Çelik and Yamak [30] proposed fuzzy soft sets in medical diagnosis, Stefanowski and Slowinski [91] show applications of rough sets to identify the causal relevancy of particular pre-therapy attributes. Alcantud et al [19] carried out an analysis of survival for lung cancer resections cases with fuzzy and soft set theory in decision making.…”
Section: Decision Making In Medical Sciencesmentioning
confidence: 99%
“…A prediction system according to which the risk of Glaucoma can be assessed was developed by Alcantud et al [19]. Çelik and Yamak [30] proposed fuzzy soft sets in medical diagnosis, Stefanowski and Slowinski [91] show applications of rough sets to identify the causal relevancy of particular pre-therapy attributes. Alcantud et al [19] carried out an analysis of survival for lung cancer resections cases with fuzzy and soft set theory in decision making.…”
Section: Decision Making In Medical Sciencesmentioning
confidence: 99%
“…Stefanowski and Slowiński applied rough set theory in order to pinpoint the most relevant parameters which are connected with the induction of decision rules from medical databases. In [73], these authors calculated a strong positive causal effect of particular pre-therapy attributes by specifying the preciseness with which patients are classified according to their specific recuperation. The use of soft set theory in the diagnosis of risk of prostate cancer by Yuksel et al .…”
Section: Soft Expert System For Survival Predictionmentioning
confidence: 99%
“…The possibility of specifying the accuracy with which patients are assigned to particular recovery classes also allows one to determine the causal relevancy of particular pre-therapy attributes [ 16 ]. The idea is as follows.…”
Section: The Causal Relevancy Of Attributes In Rst Approachmentioning
confidence: 99%