Abstract
This project aims at inducing as much information as possible from clinical databases. Until now, the following six methods are applied to a clinical database (meningoencephalitis):1. association rule induction,2. decision trees with genetic algorithm based feature selection,3. decision tree induction with random sampling,4. rough set based rule induction,5. logit analysis6. linear discriminant analysis.Experimental results show that knowledge which medical experts did not expect was extracted by different methods. The research will be extended to other methods and databases.
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