Medical Data Mining Using Evolutionary Computation

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Po Shun Ngan and Man Leung Wong and Wai Lam and 
                 Kwong Sak Leung and Jack C. Y. Cheng",
  title =        "Medical Data Mining Using Evolutionary Computation",
  journal =      "Artificial Intelligent in Medicine",
  year =         "1999",
  volume =       "16",
  pages =        "73--96",
  number =       "1",
  note =         "Special Issue On Data Mining Techniques and
                 Applications in Medicine",
  keywords =     "genetic algorithms, genetic programming, Data Mining,
                 Evolutionary Computation, Rule Learning, Bayesian
                 Networks, Grammar Based Genetic Programming,
                 information processing, computer language",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1016/S0933-3657(98)00065-7",
  abstract =     "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.",

Genetic Programming entries for Po Shun Ngan Man Leung Wong Wai Lam Kwong-Sak Leung Jack Chun-yiu Cheng