Medical data mining using evolutionary computation

被引：2
|
作者：
Ngan, PS [1 ]
Wong, ML
Lam, W
Leung, KS
Cheng, JCY
机构：
[1] Chinese Univ Hong Kong, Dept Comp Engn & Sci, Hong Kong, Peoples R China
[2] Lingnan coll, Dept Comp Studies, Hong Kong, Peoples R China
[3] Chinese Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Peoples R China
[4] Chinese Univ Hong Kong, Dept Orthopaed & Traumatol, Hong Kong, Peoples R China
来源：
ARTIFICIAL INTELLIGENCE IN MEDICINE | 1999年 / 16卷 / 01期
关键词：
data mining; evolutionary computation; rule learning; Bayesian networks; grammar based genetic programming;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：73 / 96
页数：24
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