DocumentCode :
2582170
Title :
Evolutionary construction of medical decision trees
Author :
Podforelec, V. ; Kokol, Peter
Author_Institution :
Maribor Univ., Slovenia
Volume :
3
fYear :
1998
fDate :
29 Oct-1 Nov 1998
Firstpage :
1202
Abstract :
In helping physicians, decision support systems are becoming a very important part of medical decision making. A prospective candidate for such tasks are decision trees that have already been successfully used for many medical decision making purposes. Although very effective and reliable, the traditional construction approach, which hasn´t changed much since its introduction, is still not perfect in real-world decision making. Therefore we decided to try something else-evolutionary construction of decision trees based on genetic algorithms. The whole evolution process has been defined, the appropriate internal representation selected, adequate genetic operators developed and a straightforward evaluation function constructed. Several solutions were evolved for the classification of mitral valve prolapse syndrome. A comparison has been made to the traditional induction of decision trees. Regarding all the advantages that our new approach brings and the quality of obtained results, it can be considered as a good choice for all kinds of real-world decision making
Keywords :
decision support systems; decision trees; genetic algorithms; medical diagnostic computing; decision support systems; evaluation function; evolutionary construction; genetic algorithm; genetic operators; internal representation; medical decision making; medical decision trees; mitral valve prolapse syndrome classification; physicians; Blood flow; Decision making; Decision support systems; Decision trees; Echocardiography; Genetic algorithms; Medical diagnosis; Medical diagnostic imaging; Microorganisms; Valves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
ISSN :
1094-687X
Print_ISBN :
0-7803-5164-9
Type :
conf
DOI :
10.1109/IEMBS.1998.747088
Filename :
747088
Link To Document :
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