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Volumn 42, Issue 13, 2015, Pages 5621-5631

Hybrid prediction model with missing value imputation for medical data

Author keywords

Data mining; K means clustering; Missing value imputation; Multilayer Perceptron (MLP)

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOCORRELATION; CLASSIFICATION (OF INFORMATION); DIAGNOSIS; DISEASES; FORECASTING; LEARNING SYSTEMS; MULTILAYERS; STATISTICAL TESTS;

EID: 84926648585     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.02.050     Document Type: Article
Times cited : (161)

References (46)
  • 3
    • 37249089420 scopus 로고    scopus 로고
    • Predictive data mining in clinical medicine: Current issues and guidelines
    • R. Bellazzi, and B. Zupan Predictive data mining in clinical medicine: Current issues and guidelines International Journal of Medical Informatics 77 2008 81 97
    • (2008) International Journal of Medical Informatics , vol.77 , pp. 81-97
    • Bellazzi, R.1    Zupan, B.2
  • 4
    • 0031623647 scopus 로고    scopus 로고
    • Neural networks proceedings, 1998. IEEE world congress on computational intelligence. The 1998 IEEE international joint conference on
    • Bennett, K. P., & Blue, J. A. (1998). A support vector machine approach to decision trees. In Neural networks proceedings, 1998. IEEE world congress on computational intelligence. The 1998 IEEE international joint conference on (Vol. 3, pp. 2396-2401, vol. 2393).
    • (1998) A support vector machine approach to decision trees , vol.3 , pp. 2396-2401
    • Bennett, K.P.1    Blue, J.A.2
  • 6
    • 0032029156 scopus 로고    scopus 로고
    • ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases
    • G.A. Carpenter, and N. Markuzon ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases Neural Networks 11 1998 323 336
    • (1998) Neural Networks , vol.11 , pp. 323-336
    • Carpenter, G.A.1    Markuzon, N.2
  • 7
    • 79955625471 scopus 로고    scopus 로고
    • A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis
    • H. Chen, D. Liu, B. Yang, J. Liu, and G. Wang A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis Expert Systems with Applications 38 9 2011 11796 11803
    • (2011) Expert Systems with Applications , vol.38 , Issue.9 , pp. 11796-11803
    • Chen, H.1    Liu, D.2    Yang, B.3    Liu, J.4    Wang, G.5
  • 8
    • 84866075139 scopus 로고    scopus 로고
    • Support vector machine based diagnostic system for breast cancer using swarm intelligence
    • H. Chen, B. Yang, G. Wang, S. Wang, J. Liu, and D. Liu Support vector machine based diagnostic system for breast cancer using swarm intelligence Journal of Medical Systems 2012 2505 2519
    • (2012) Journal of Medical Systems , pp. 2505-2519
    • Chen, H.1    Yang, B.2    Wang, G.3    Wang, S.4    Liu, J.5    Liu, D.6
  • 9
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • G. Cibenko Approximation by superpositions of a sigmoidal function Mathematics of Control, Signal and Systems 2 4 1989 303 314
    • (1989) Mathematics of Control, Signal and Systems , vol.2 , Issue.4 , pp. 303-314
    • Cibenko, G.1
  • 11
    • 19344364327 scopus 로고    scopus 로고
    • Predicting breast cancer survivability: A comparison of three data mining methods
    • D. Delen, G. Walker, and A. Kadam Predicting breast cancer survivability: A comparison of three data mining methods Artificial Intelligence in Medicine 34 2 2005 113 127
    • (2005) Artificial Intelligence in Medicine , vol.34 , Issue.2 , pp. 113-127
    • Delen, D.1    Walker, G.2    Kadam, A.3
  • 12
    • 67349267265 scopus 로고    scopus 로고
    • Automatic hepatitis diagnosis system based on linear discriminant analysis and adaptive network based on fuzzy inference system
    • E. Dogantekin, A. Dogantekin, and D. Avci Automatic hepatitis diagnosis system based on linear discriminant analysis and adaptive network based on fuzzy inference system Expert Systems with Applications 36 8 2009 11282 11286
    • (2009) Expert Systems with Applications , vol.36 , Issue.8 , pp. 11282-11286
    • Dogantekin, E.1    Dogantekin, A.2    Avci, D.3
  • 13
    • 0030219072 scopus 로고    scopus 로고
    • Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks
    • J. Downs, R.F. Harrison, R.L. Kennedy, and S.S. Cross Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks Artificial Intelligence in Medicine 8 1996 403 428
    • (1996) Artificial Intelligence in Medicine , vol.8 , pp. 403-428
    • Downs, J.1    Harrison, R.F.2    Kennedy, R.L.3    Cross, S.S.4
  • 14
    • 33748186432 scopus 로고    scopus 로고
    • Logical analysis of data - An overview: From combinatorial optimization to medical applications
    • P. Hammer, and T. Bonates Logical analysis of data - An overview: From combinatorial optimization to medical applications Annals of Operations Research 148 2006 203 225
    • (2006) Annals of Operations Research , vol.148 , pp. 203-225
    • Hammer, P.1    Bonates, T.2
  • 16
    • 0036132613 scopus 로고    scopus 로고
    • Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm
    • R.J. Hathaway, and J.C. Bezdek Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm Pattern Recognition Letters 23 2002 151 160
    • (2002) Pattern Recognition Letters , vol.23 , pp. 151-160
    • Hathaway, R.J.1    Bezdek, J.C.2
  • 17
    • 44949105491 scopus 로고    scopus 로고
    • Design of a hybrid system for the diabetes and heart diseases
    • H. Kahramanli, and N. Allahverdi Design of a hybrid system for the diabetes and heart diseases Expert Systems with Applications 35 2008 82 89
    • (2008) Expert Systems with Applications , vol.35 , pp. 82-89
    • Kahramanli, H.1    Allahverdi, N.2
  • 19
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Y. Koren, R. Bell, and C. Volinsky Matrix factorization techniques for recommender systems Computer 42 8 2009 30 37
    • (2009) Computer , vol.42 , Issue.8 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 20
    • 78649409641 scopus 로고    scopus 로고
    • A hybrid prediction model with F-score feature selection for type II Diabetes databases
    • Coimbatore, India
    • llango, S. B., & Ramaraj, N. (2010). A hybrid prediction model with F-score feature selection for type II Diabetes databases. In 1st Amrita ACM-W celebration on women in computing in India (pp. 1-4). Coimbatore, India.
    • (2010) 1st Amrita ACM-W Celebration on Women in Computing in India , pp. 1-4
    • Llango, S.B.1    Ramaraj, N.2
  • 21
    • 84862690781 scopus 로고    scopus 로고
    • On the choice of the best imputation methods for missing values considering three groups of classification methods
    • J. Luengo, S. García, and F. Herrera On the choice of the best imputation methods for missing values considering three groups of classification methods Knowledge and Information Systems 32 2011 77 108
    • (2011) Knowledge and Information Systems , vol.32 , pp. 77-108
    • Luengo, J.1    García, S.2    Herrera, F.3
  • 22
    • 60249085635 scopus 로고    scopus 로고
    • Classification based on fuzzy robust PCA algorithms and similarity classifier
    • P. Luukka Classification based on fuzzy robust PCA algorithms and similarity classifier Expert Systems with Applications 36 4 2009 7463 7468
    • (2009) Expert Systems with Applications , vol.36 , Issue.4 , pp. 7463-7468
    • Luukka, P.1
  • 23
    • 78650710674 scopus 로고    scopus 로고
    • Feature selection using fuzzy entropy measures with similarity classifier
    • P. Luukka Feature selection using fuzzy entropy measures with similarity classifier Expert Systems with Applications 38 2011 4600 4607
    • (2011) Expert Systems with Applications , vol.38 , pp. 4600-4607
    • Luukka, P.1
  • 28
    • 78650691592 scopus 로고    scopus 로고
    • Comparing performances of backpropagation and genetic algorithms in the data classification
    • H.H. Örkcü, and H. Bal Comparing performances of backpropagation and genetic algorithms in the data classification Expert Systems with Applications 38 2011 3703 3709
    • (2011) Expert Systems with Applications , vol.38 , pp. 3703-3709
    • Örkcü, H.H.1    Bal, H.2
  • 30
    • 33751175417 scopus 로고    scopus 로고
    • Hepatitis disease diagnosis using a new hybrid system based on feature selection (FS) and artificial immune recognition system with fuzzy resource allocation
    • K. Polat, and S. Güneş Hepatitis disease diagnosis using a new hybrid system based on feature selection (FS) and artificial immune recognition system with fuzzy resource allocation Digital Signal Processing 16 6 2006 889 901
    • (2006) Digital Signal Processing , vol.16 , Issue.6 , pp. 889-901
    • Polat, K.1    Güneş, S.2
  • 31
    • 34249031893 scopus 로고    scopus 로고
    • Prediction of hepatitis disease based on principal component analysis and artificial immune recognition system
    • K. Polat, and S. Güneş Prediction of hepatitis disease based on principal component analysis and artificial immune recognition system Applied Mathematics and Computation 189 2 2007 1282 1291
    • (2007) Applied Mathematics and Computation , vol.189 , Issue.2 , pp. 1282-1291
    • Polat, K.1    Güneş, S.2
  • 32
    • 33748147286 scopus 로고    scopus 로고
    • Breast cancer and liver disorders classification using artificial immune recognition system (AIRS) with performance evaluation by fuzzy resource allocation mechanism
    • K. Polat, S. Sahan, H. Kodaz, and S. Güneş Breast cancer and liver disorders classification using artificial immune recognition system (AIRS) with performance evaluation by fuzzy resource allocation mechanism Expert Systems with Applications 32 1 2007 172 183
    • (2007) Expert Systems with Applications , vol.32 , Issue.1 , pp. 172-183
    • Polat, K.1    Sahan, S.2    Kodaz, H.3    Güneş, S.4
  • 33
  • 39
    • 84890117327 scopus 로고    scopus 로고
    • A hybrid intelligent system for medical data classification
    • M. Seera, and C.P. Lim A hybrid intelligent system for medical data classification Expert Systems with Applications 41 2014 2239 2249
    • (2014) Expert Systems with Applications , vol.41 , pp. 2239-2249
    • Seera, M.1    Lim, C.P.2
  • 41
    • 84873202886 scopus 로고    scopus 로고
    • Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection
    • R. Stoean, and C. Stoean Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection Expert Systems with Applications 40 7 2013 2677 2686
    • (2013) Expert Systems with Applications , vol.40 , Issue.7 , pp. 2677-2686
    • Stoean, R.1    Stoean, C.2
  • 42
    • 63449123891 scopus 로고    scopus 로고
    • Matrix factorization and neighbor based algorithms for the Netflix prize problem
    • Takács, G., Pilászy, I., & Németh, B. (2008). Matrix factorization and neighbor based algorithms for the Netflix prize problem. In ACM conference on recommender systems (pp. 267-274).
    • (2008) ACM Conference on Recommender Systems , pp. 267-274
    • Takács, G.1
  • 43
    • 34248582403 scopus 로고    scopus 로고
    • The feasibility of constructing a predictive outcome model for breast cancer using the tools of data mining
    • J. Thora, T. Ebba, S. Helgi, and S. Sven The feasibility of constructing a predictive outcome model for breast cancer using the tools of data mining Expert Systems with Applications 34 2008 108 118
    • (2008) Expert Systems with Applications , vol.34 , pp. 108-118
    • Thora, J.1    Ebba, T.2    Helgi, S.3    Sven, S.4
  • 46
    • 84897964825 scopus 로고    scopus 로고
    • Disease diagnosis with a hybrid method SVR using NSGA-II
    • M.H. Zangooei, J. Habibi, and R. Alizadehsani Disease diagnosis with a hybrid method SVR using NSGA-II Neurocomputing 136 2014 14 29
    • (2014) Neurocomputing , vol.136 , pp. 14-29
    • Zangooei, M.H.1    Habibi, J.2    Alizadehsani, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.