Skip to main content
Medical data mining using evolutionary computation
Artificial Intelligence in Medicine
  • Po Shun NGAN, Chinese University of Hong Kong
  • Man Leung WONG, Lingnan College, Hong Kong
  • Wai LAM, Chinese University of Hong Kong
  • Kwong Sak LEUNG, Chinese University of Hong Kong
  • C. Y., Jack CHENG, Chinese University of Hong Kong
Document Type
Journal article
Publication Date
  • Data mining,
  • Evolutionary computation,
  • Rule learning,
  • Bayesian networks,
  • Grammar based genetic programming

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.

Publisher Statement

Copyright © 1999 Elsevier Science B.V.

Access to external full text or publisher's version may require subscription.

Full-text Version
Publisher’s Version
Citation Information
Ngan, P. S., Wong, M. L., Lam, W., Leung, K. S., & Cheng, J. C. Y. (1999). Medical data mining using evolutionary computation. Artificial Intelligence in Medicine, 16(1), 73-96. doi: 10.1016/S0933-3657(98)00065-7