Discovering knowledge from medical databases using evolutionary algorithms : learning rules and causal structures for capturing patterns and causality relationships

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

Research output: Journal PublicationsJournal Article (refereed)Researchpeer-review

35 Citations (Scopus)

Abstract

Data mining, referred to as knowledge discovery in databases (KDD), is the nontrivial process of identifying valid, novel and potentially useful patterns in data. Evolutionary algorithms are employed for representing knowledge in rules and causal structures determined by Bayesian networks. Two medical databases are used to learn the rules for representing the patterns of data in addition to the use of Bayesian networks as causality relationship models among the attributes. Advanced evolutionary algorithms such as generic genetic programming, evolutionary programming and genetic algorithms are used to conduct the learning task.
Original languageEnglish
Pages (from-to)45-55
Number of pages11
JournalIEEE Engineering in Medicine and Biology Magazine
Volume19
Issue number4
DOIs
Publication statusPublished - 20 Jul 2000

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Evolutionary algorithms
Bayesian networks
Data mining
Genetic programming
Genetic algorithms

Cite this

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abstract = "Data mining, referred to as knowledge discovery in databases (KDD), is the nontrivial process of identifying valid, novel and potentially useful patterns in data. Evolutionary algorithms are employed for representing knowledge in rules and causal structures determined by Bayesian networks. Two medical databases are used to learn the rules for representing the patterns of data in addition to the use of Bayesian networks as causality relationship models among the attributes. Advanced evolutionary algorithms such as generic genetic programming, evolutionary programming and genetic algorithms are used to conduct the learning task.",
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Discovering knowledge from medical databases using evolutionary algorithms : learning rules and causal structures for capturing patterns and causality relationships. / WONG, Man Leung; LAM, Wai; LEUNG, Kwong Sak; NGAN, Po Shun; CHENG, C. Y., Jack.

In: IEEE Engineering in Medicine and Biology Magazine, Vol. 19, No. 4, 20.07.2000, p. 45-55.

Research output: Journal PublicationsJournal Article (refereed)Researchpeer-review

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