Medical Data Mining Using Evolutionary Computation

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@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.",

}

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

Citations