Genetic programming for knowledge discovery in chest-pain diagnosis

被引:73
作者
Bojarczuk, CC
Lopes, HS
Freitas, AA
机构
[1] PR CPGEI, CEFET, BR-80230901 Curitiba, Parana, Brazil
[2] PUC PR, PPGIA CCET, Curitiba, Parana, Brazil
来源
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 2000年 / 19卷 / 04期
关键词
D O I
10.1109/51.853480
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Intelligent systems based on different paradigms are proposed to overcome the various clinical diagnosis problems with respect to the chest pains. To discover high level comprehensible knowledge about the diagnosis of chest pain these knowledge discovery systems with genetic programming are used. Data mining classification approaches are considered.
引用
收藏
页码:38 / 44
页数:7
相关论文
共 20 条
[1]  
[Anonymous], LIL GP 1 01 USERS MA
[2]  
[Anonymous], 1989, GENETIC ALGORITHM SE
[3]  
[Anonymous], 1998, Genetic programming: an introduction
[4]  
[Anonymous], 1998, MINING VERY LARGE DA
[5]  
Assanelli D., 1993, Proceedings. Computers in Cardiology 1993 (Cat. No.93CH3384-5), P759, DOI 10.1109/CIC.1993.378374
[6]   Simplifying decision trees: A survey [J].
Breslow, LA ;
Aha, DW .
KNOWLEDGE ENGINEERING REVIEW, 1997, 12 (01) :1-40
[7]  
Domingos P., 1998, Proceedings Fourth International Conference on Knowledge Discovery and Data Mining, P37
[8]  
Fayyad U. M., 1996, ADV KNOWLEDGE DISCOV, P1, DOI DOI 10.1609/AIMAG.V17I3.1230
[9]  
Freitas AA, 1998, LECT NOTES ARTIF INT, V1510, P1
[10]  
HOLLAND JH, 1975, ADAPTATION NATURAL A