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http://dx.doi.org/10.9717/kmms.2013.16.3.269

Bayesian Network-based Data Analysis for Diagnosing Retinal Disease  

Kim, Hyun-Mi (창원대학교 컴퓨터공학과)
Jung, Sung-Hwan (창원대학교 컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.16, no.3, 2013 , pp. 269-280 More about this Journal
Abstract
In this paper, we suggested the possibility of using an efficient classifier for the dependency analysis of retinal disease. First, we analyzed the classification performance and the prediction accuracy of GBN (General Bayesian Network), GBN with reduced features by Markov Blanket and TAN (Tree-Augmented Naive Bayesian Network) among the various bayesian networks. And then, for the first time, we applied TAN showing high performance to the dependency analysis of the clinical data of retinal disease. As a result of this analysis, it showed applicability in the diagnosis and the prediction of prognosis of retinal disease.
Keywords
Retinal Disease; GBN; Markov Blanket; TAN; Prediction of Prognosis;
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Times Cited By KSCI : 3  (Citation Analysis)
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