Medical data mining using evolutionary computation

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

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

39 Citations (Scopus)


In this paper, we introduce a system for discovering medical knowledge by learning Bayesian networks and rules. Evolutionary computation is used as the search algorithm. The Bayesian networks can provide an overall structure of the relationships among the attributes. The rules can capture detailed and interesting patterns in the database. The system is applied to real-life medical databases for limb fracture and scoliosis. The knowledge discovered provides insights to and allows better understanding of these two medical domains.
Original languageEnglish
Pages (from-to)73-96
Number of pages24
JournalArtificial Intelligence in Medicine
Issue number1
Publication statusPublished - 1 May 1999


  • Bayesian networks
  • Data mining
  • Evolutionary computation
  • Grammar based genetic programming
  • Rule learning


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