Searching for new patterns in cardiovascular data

We study a new approach to rule induction from medical data sets with the help of physicians' assessment of the progressing solution in order to find new patterns in the available data. A method for the automatic extraction of rules is presented which is based on the evolutionary induction of d...

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Bibliographic Details
Published inProceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002) pp. 111 - 116
Main Authors Podgorelec, V., Kokol, P., Stiglic, M.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Cardiology
Classification tree analysis
Data mining
Decision making
Decision trees
Education
Hospitals
Induction generators
Medical diagnostic imaging
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Summary:We study a new approach to rule induction from medical data sets with the help of physicians' assessment of the progressing solution in order to find new patterns in the available data. A method for the automatic extraction of rules is presented which is based on the evolutionary induction of decision trees and on automatic programming. The method is applied to a cardiovascular database. Several sets of rules are induced upon different groups of attributes which may possibly reveal the presence of some specific cardiovascular problems in young patients. The obtained rules are assessed by a physician in order to evaluate the strength of the developed knowledge discovery method.
ISBN:0769516149
9780769516141
ISSN:1063-7125
DOI:10.1109/CBMS.2002.1011363