Extraction Method of Significant Clinical Tests Based on Data Discretization and Rough Set Approximation Techniques: Application to Differential Diagnosis of Cholecystitis and Cholelithiasis Diseases
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Son, Chang-Sik
(Dept. of Medical Informatics, School of Medicine, Keimyung Univ.)
Kim, Min-Soo (Biomedical Information Technology Center, School of Medicine, Keimyung Univ.) Seo, Suk-Tae (Biomedical Information Technology Center, School of Medicine, Keimyung Univ.) Cho, Yun-Kyeong (Dept. of Internal Medicine, School of Medicine, Keimyung Univ.) Kim, Yoon-Nyun (Dept. of Medical Informatics, School of Medicine, Keimyung Univ.) |
1 | C.S. Son, A.M. Shin, Y.D. Lee, H.S. Park, H.J. Park, and Y.N. Kim, "Rule weight-based fuzzy classification model for analyzing admission-discharge of dyspnea patients," J. Biomed. Eng. Res., vol. 31, no. 1, pp. 40-49, 2010. |
2 | ICD10 version 2007, http://apps.who.int/classifications/apps/icd/icd10online/ |
3 | D. Chiu, A. Wong, and B. Cheung, Information discovery through hierarchical maximum entropy discretization and synthesis, MIT Press, 1991. |
4 | Z. Pawlak, "Rough sets," Int. J. Comput. Inf. Sci., vol. 11, no. 5, pp. 341-356, 1982. DOI ScienceOn |
5 | R. Slowinski and J. Stefanowski, "Rough classification in incomplete information systems," Math.Comput.Modeling, vol. 12, no. 10-11, pp. 1347-1357, 1989. DOI ScienceOn |
6 | Z. Pawlak, Rough sets: theoretical aspects of reasoning about data, Kluwer Academic Publisher, Dordrecht, Netherlands, 1991. |
7 | R. Jensen and Q. Shen, Computational intelligence and feature selection: rough and fuzzy approaches, Wiley-IEEE Press, 2008. |
8 | Y.M. Sun, M.S. Kamel, A.K.C. Wong, and Y.Wang, "Cost-sensitive boosting for classification of imbalanced data," Patt.Recog., vol. 40, no. 12, pp. 3358-3378, 2007. DOI ScienceOn |
9 | C.S. Son, A.M. Shin, I.H. Lee, H.J. Park, H.S. Park, and Y.N. Kim, "Fuzzy discretization with spatial distribution of data and its application to feature selection," J. Kor. Inst. Int. Syst., vol. 20, no. 2, pp. 165-172, 2010. |
10 | K.S. Yoo, "Diagnosis of gallstone," Korean J. Med., vol. 75, no. 6, pp. 616-623, 2008. |
11 | R. Kerber, "ChiMerge: discretization of numeric attributes," in Proceedings of AAAI-92, Ninth Intpppppl Conf. Artificial Intelligence, AAAI-Press, pp. 123-128, 1992. |
12 | H. Liu and R. Setiono, "Feature selection via discretization of numeric attributes," IEEE Trans. Knowl.Data Eng., vol. 9, no. 4, pp. 642-645, 1997. DOI ScienceOn |
13 | U.M. Fayyad and K.B. Irani, "Multi-interval discretization of continuous attributes as preprocessing for classification learning," in Proceedings of 13th International Joint Conference on Artificial Intelligence, pp. 1022-1027, 1993. |
14 | L. Kaufman and P.J. Rousseeuw, "Finding group in data: an introduction to cluster analysis, John Wiley & Sons, New York, 1990. |
15 | K.N. Lee, J.H. Yoon, Y.H. Choi, H.I. Cho, K.W. Bae, C.H. Yoon, and S.I. Kim, "Standardization of reference values among laboratories of Korean association of health promotion," J. Lab. Med. & Quality Assuarance, vol. 24, no. 2, pp. 185-195, 2002. |
16 | E.J. Cha, T.S. Lee, Y.S. Whang, J.W. Kim, S.O. Yang, K.H. Jung, and H.K. Ryu, "Automated clinical test results analysis system application to liver function test," J. Biomed. Eng. Res., vol. 14, no. 4, pp. 341-348, 1993. |
17 | C.S. Son, A.M. Shin, YD. Lee, H.J. Park, H.S. Park, and Y.N. Kim, "Variable threshold based feature selection using spatial distribution of data," J. Kor. Soc. Med. Informatics, vol. 15, no. 4, pp. 475-481, 2009. DOI |
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