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.
%0 Journal Article
%1 Ngan:1999:AIM
%A Ngan, Po Shun
%A Wong, Man Leung
%A Lam, Wai
%A Leung, Kwong Sak
%A Cheng, Jack C. Y.
%D 1999
%J Artificial Intelligent in Medicine
%K Based Bayesian Computation, Data Evolutionary Genetic Grammar Learning, Mining, Networks, Programming, Rule algorithms, computer genetic information language processing, programming,
%N 1
%P 73--96
%R doi:10.1016/S0933-3657(98)00065-7
%T Medical Data Mining Using Evolutionary Computation
%U http://www.sciencedirect.com/science/article/B6T4K-3W379P8-5/2/c1aa52f42fe5376c7088f6120ae9be06
%V 16
%X 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.
@article{Ngan:1999:AIM,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Ngan, Po Shun and Wong, Man Leung and Lam, Wai and Leung, Kwong Sak and Cheng, Jack C. Y.},
biburl = {https://www.bibsonomy.org/bibtex/26d99e4d29f20a46518ce3d5880e771e7/brazovayeye},
doi = {doi:10.1016/S0933-3657(98)00065-7},
interhash = {d9f32ffadd433089a1b9f802b944c5bb},
intrahash = {6d99e4d29f20a46518ce3d5880e771e7},
journal = {Artificial Intelligent in Medicine},
keywords = {Based Bayesian Computation, Data Evolutionary Genetic Grammar Learning, Mining, Networks, Programming, Rule algorithms, computer genetic information language processing, programming,},
note = {Special Issue On Data Mining Techniques and
Applications in Medicine},
number = 1,
pages = {73--96},
timestamp = {2008-06-19T17:48:14.000+0200},
title = {Medical Data Mining Using Evolutionary Computation},
url = {http://www.sciencedirect.com/science/article/B6T4K-3W379P8-5/2/c1aa52f42fe5376c7088f6120ae9be06},
volume = 16,
year = 1999
}