Rough Sets Data Analysis in Knowledge Discovery : A Case of Kuwaiti Diabetic Children Patients
Joint Authors
Own, Hala S.
Hassanien, Aboul ella
Abdelhafez, Mohamed E.
Source
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-01-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
The main goal of this study is to investigate the relationship between psychosocial variables and diabetic children patients and to obtain a classifier function with which it was possible to classify the patients on the basis of assessed adherence level.
The rough set theory is used to identify the most important attributes and to induce decision rules from 302 samples of Kuwaiti diabetic children patients aged 7–13 years old.
To increase the efficiency of the classification process, rough sets with Boolean reasoning discretization algorithm is introduced to discretize the data, then the rough set reduction technique is applied to find all reducts of the data which contains the minimal subset of attributes that are associated with a class label for classification.
Finally, the rough sets dependency rules are generated directly from all generated reducts.
Rough confusion matrix is used to evaluate the performance of the predicted reducts and classes.
A comparison between the obtained results using rough sets with decision tree, neural networks, and statistical discriminate analysis classifier algorithms has been made.
Rough sets show a higher overall accuracy rates and generate more compact rules.
American Psychological Association (APA)
Hassanien, Aboul ella& Abdelhafez, Mohamed E.& Own, Hala S.. 2008. Rough Sets Data Analysis in Knowledge Discovery : A Case of Kuwaiti Diabetic Children Patients. Advances in Fuzzy Systems،Vol. 2008, no. 2008, pp.1-13.
https://search.emarefa.net/detail/BIM-478900
Modern Language Association (MLA)
Hassanien, Aboul ella…[et al.]. Rough Sets Data Analysis in Knowledge Discovery : A Case of Kuwaiti Diabetic Children Patients. Advances in Fuzzy Systems No. 2008 (2008), pp.1-13.
https://search.emarefa.net/detail/BIM-478900
American Medical Association (AMA)
Hassanien, Aboul ella& Abdelhafez, Mohamed E.& Own, Hala S.. Rough Sets Data Analysis in Knowledge Discovery : A Case of Kuwaiti Diabetic Children Patients. Advances in Fuzzy Systems. 2008. Vol. 2008, no. 2008, pp.1-13.
https://search.emarefa.net/detail/BIM-478900
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478900