Inproceedings,

Using Grammar Based Genetic Programming for Data Mining of Medical Knowledge

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Genetic Programming 1998: Proceedings of the Third Annual Conference, page 254--259. University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann, (22-25 July 1998)

Abstract

We have developed a rule learning system that employed Grammar Based Genetic Programming for knowledge discovery from databases. A grammar is used as a template for the rule format. Grammar Based Genetic Programming can guide the evolution and the discovery of meaningful rules. The technique Token competition is used to achieve the learning of multiple rules simultaneously. We have applied the approach to real life medical databases. The rules discovered can provide insight into and allow better understanding of the medical domains.

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