Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7669
Title: Medical data mining using evolutionary computation
Authors: Shun Ngan, Po 
Leung Wong, Man 
Lam, Wai 
Prof. LEUNG Kwong Sak 
Cheng, Jack C.Y. 
Issue Date: 1999
Publisher: Elsevier Science B.V.
Source: Artificial Intelligence in Medicine, 1999, Vol. 16 (1), pp. 73 - 96
Journal: Artificial Intelligence in Medicine 
Abstract: 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. 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.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/7669
ISSN: 09333657
DOI: 10.1016/S0933-3657(98)00065-7
Appears in Collections:Applied Data Science - Publication

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