Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
C4.5: programs for machine learning
C4.5: programs for machine learning
From rough set theory to evidence theory
Advances in the Dempster-Shafer theory of evidence
A new version of the rule induction system LERS
Fundamenta Informaticae
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Managing Uncertainty in Expert Systems
Managing Uncertainty in Expert Systems
Using optimisation techniques for discretizing rough set partitions
International Journal of Hybrid Intelligent Systems - Computational Models for Life Sciences
Data preparation for data mining in medical data sets
Transactions on rough sets VI
Selection of important attributes for medical diagnosis systems
Transactions on rough sets VII
Accuracy evaluation of the system of type 1 diabetes prediction
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Expert Systems with Applications: An International Journal
Risk prediction for postoperative morbidity of endovascular aneurysm repair using ensemble model
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part III
Attribute selection and rule generation techniques for medical diagnosis systems
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Rough sets approach to medical diagnosis system
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
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The work contains an example of application of Rough Set Theory to decision making - diagnosing Mitochondrial Encephalomyopathies (MEM) for children. The resulting decision support system maximally limits the indications for invasive diagnostic methods (puncture, muscle and/or nerve specimens). Moreover, it shortens the time necessary for making diagnosis. The system has been developed on the basis of data obtained from the II Clinic Department of Pediatrics of the Silesian Academy of Medicine (further referred to as the Clinic of Pediatrics).