Medical Data Mining Using Evolutionary Computation   [MD] [MDM] [DM] [EC]

by

Ngan, P., S., Wong, M., L., Lam, W., Leung, K., S. and Cheng, J., C., Y.

Literature search on Evolutionary ComputationBBase ©1999-2013, Rasmus K. Ursem
     Home · Search · Adv. search · Authors · Login · Add entries   Webmaster
Note to authors: Please submit your bibliography and contact information - online papers are more frequently cited.

Info: Artificial Intelligent in Medicine (Journal), 1999, p. 73-96
Keywords:genetic algorithms, genetic programming, Data Mining, Evolutionary Computation, Rule Learning, Bayesian Networks, Grammar Based Genetic Programming, information processing, computer language
Abstract:
we introduce a system for discovering medical knowledge by learning Bayesian networks [BN] and rules. Evolutionary computation [EC] is used as the search algorithm. [SA] The Bayesian networks [BN] 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 [MD] for limb fracture and scoliosis. The knowledge discovered provides insights to and allows better understanding of these two medical domains.
Notes:
Special Issue On Data Mining Techniques and Applications in Medicine
URL(s):PDF
Other format

Review item:

Mark as doublet (will be reviewed)

Print entry



BibTex:
@Article{Ngan:1999:AIM,
  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 =          "http://cptra.ln.edu.hk/~mlwong/journal/aim1999.pdf",
  URL =          "http://www.sciencedirect.com/science/article/B6T4K-3W379P8-5/2/c1aa52f42fe5376c7088f6120ae9be06",
  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.",
}