Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
The Application of Support Diagnose in Mitochondrial Encephalomyopathies
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Applying Rough Set Theory to Medical Diagnosing
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Applying Rough Set Theory to Multi Stage Medical Diagnosing
Fundamenta Informaticae
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In this work we check how the automatic discretization algorithms generate decision rules for the concrete medical problem - diagnosing mitochondrial encephalomyopathies (MEM). We describe several algorithms for discretization - local and global - of continuous attributes obtained in the second stage of diagnosing MEM. All of these algorithms act together with the data analysis method based on the rough sets theory. This work compares results -- quality of classification rules -- which were obtained using different discretization methods of the continuous attributes.