Using Grammar Based Genetic Programming for Data Mining of Medical Knowledge

Po Shun NGAN, Man Leung WONG, Kwong Sak LEUNG, Jack C. Y. CHENG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Research

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.
Original languageEnglish
Title of host publicationProceedings Of the Third Annual Conference of Genetic Programming
Publication statusPublished - 1998
Externally publishedYes
EventThe Third Genetic Programming Conference 1998 - University of Wisconsin, Madison, Wisconsin, United States
Duration: 22 Jul 199825 Jul 1998
http://www.genetic-programming.org/gp98tablecontents.html

Conference

ConferenceThe Third Genetic Programming Conference 1998
Abbreviated titleGP98
CountryUnited States
CityWisconsin
Period22/07/9825/07/98
Internet address

Fingerprint Dive into the research topics of 'Using Grammar Based Genetic Programming for Data Mining of Medical Knowledge'. Together they form a unique fingerprint.

Cite this