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Cited 53 time in webofscience Cited 0 time in scopus
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APPLICATION OF IRREGULAR AND UNBALANCED DATA TO PREDICT DIABETIC NEPHROPATHY USING VISUALIZATION AND FEATURE SELECTION METHODS

Title
APPLICATION OF IRREGULAR AND UNBALANCED DATA TO PREDICT DIABETIC NEPHROPATHY USING VISUALIZATION AND FEATURE SELECTION METHODS
Authors
Cho, BHYu, HKim, KWKim, THKim, IYKim, SI
POSTECH Authors
Yu, H
Date Issued
Jan-2008
Publisher
ELSEVIER SCIENCE BV
Keywords
decision support systems; diabetic nephropathy; support vector machines; visualization; risk factor analysis; feature selection; TEMPORAL ABSTRACTION; ESSENTIAL-HYPERTENSION; BLOOD-PRESSURE; FOLLOW-UP; MELLITUS; DIAGNOSIS; DISEASE; MICROALBUMINURIA; CLASSIFICATION; COMPLICATIONS
URI
http://oasis.postech.ac.kr/handle/2014.oak/28728
DOI
10.1016/J.ARTMED.200
ISSN
0933-3657
Article Type
Article
Citation
ARTIFICIAL INTELLIGENCE IN MEDICINE, vol. 42, no. 1, page. 37 - 53, 2008-01
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 YU, HWANJO
Dept of Computer Science & Enginrg
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