메뉴 건너뛰기




Volumn 11, Issue 1, 2011, Pages 632-644

A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification

Author keywords

Breast cancer diagnosis; Case based reasoning; Fuzzy decision tree; Genetic algorithm; Hybrid intelligence; Liver disorders classification

Indexed keywords

BENCHMARK TESTS; BREAST CANCER; BREAST CANCER DIAGNOSIS; CLUSTERING METHODS; DATA CLUSTERING; DATA SETS; DECISION RULES; DECISION-MAKING SYSTEMS; FORECASTING ACCURACY; FUZZY DECISION RULES; FUZZY DECISION TREES; HYBRID INTELLIGENCE; HYBRID MODEL; LIVER DISORDER; LIVER DISORDERS CLASSIFICATION; MEDICAL DATA; MEDICAL DIAGNOSIS; MEDICAL DOCTORS; PREPROCESS; TEST DATA; UCI MACHINE LEARNING REPOSITORY; WISCONSIN;

EID: 77957898242     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.12.023     Document Type: Article
Times cited : (169)

References (55)
  • 1
    • 64049115860 scopus 로고    scopus 로고
    • On the influence of an adaptive inference system in fuzzy rule basedclassification systems for imbalanced data-sets
    • A. Fernández, M.J. Jesus, and F. Herrera On the influence of an adaptive inference system in fuzzy rule basedclassification systems for imbalanced data-sets Expert Systems with Applications 36 2009 9805 9812
    • (2009) Expert Systems with Applications , vol.36 , pp. 9805-9812
    • Fernández, A.1    Jesus, M.J.2    Herrera, F.3
  • 3
    • 33947136879 scopus 로고    scopus 로고
    • Ontology-based intelligent healthcare agent and its application to respiratory waveform recognition
    • C.S. Lee, and M.H. Wang Ontology-based intelligent healthcare agent and its application to respiratory waveform recognition Expert Systems with Applications 33 3 2007 606 619
    • (2007) Expert Systems with Applications , vol.33 , Issue.3 , pp. 606-619
    • Lee, C.S.1    Wang, M.H.2
  • 6
    • 0028005364 scopus 로고
    • Prediction of breast cancer malignancy using an artificial neural network
    • C.E. Floyd, J.Y. Lo, A.J. Yun, D.C. Sullivan, and P.J. Kornguth Prediction of breast cancer malignancy using an artificial neural network Cancer 74 1994 2944 2998
    • (1994) Cancer , vol.74 , pp. 2944-2998
    • Floyd, C.E.1    Lo, J.Y.2    Yun, A.J.3    Sullivan, D.C.4    Kornguth, P.J.5
  • 7
    • 44949176051 scopus 로고    scopus 로고
    • Ontological fuzzy agent for electrocardiogram application
    • C.-S. Lee, and M.-H. Wang Ontological fuzzy agent for electrocardiogram application Expert Systems with Applications 35 2008 1223 1236
    • (2008) Expert Systems with Applications , vol.35 , pp. 1223-1236
    • Lee, C.-S.1    Wang, M.-H.2
  • 9
    • 0032960792 scopus 로고    scopus 로고
    • Obtaining interpretable fuzzy classification rules from medical data
    • D. Nauck, and R. Kruse Obtaining interpretable fuzzy classification rules from medical data Artificial Intelligence in Medicine 16 1999 149 169
    • (1999) Artificial Intelligence in Medicine , vol.16 , pp. 149-169
    • Nauck, D.1    Kruse, R.2
  • 11
    • 0029100867 scopus 로고
    • Evolving neural networks for detecting breast cancer
    • D.B. Fogel, E.C. Wasson, and E.M. Boughton Evolving neural networks for detecting breast cancer Cancer Letters 96 1 1995 49 53
    • (1995) Cancer Letters , vol.96 , Issue.1 , pp. 49-53
    • Fogel, D.B.1    Wasson, E.C.2    Boughton, E.M.3
  • 14
    • 43949151078 scopus 로고
    • Corporate distress diagnosis: Comparison using linear discriminant analysis and neural networks
    • E.I. Altam, G. Macro, and F. Varetto Corporate distress diagnosis: comparison using linear discriminant analysis and neural networks Journal Banking and Finance 18 1994 505 529
    • (1994) Journal Banking and Finance , vol.18 , pp. 505-529
    • Altam, E.I.1    MacRo, G.2    Varetto, F.3
  • 16
    • 68249108418 scopus 로고    scopus 로고
    • An interpretable fuzzy rule-based classification methodology for medical diagnosis
    • I. Gadaras, and L. Mikhailov An interpretable fuzzy rule-based classification methodology for medical diagnosis Artificial Intelligence in Medicine 47 1 2009 25 41
    • (2009) Artificial Intelligence in Medicine , vol.47 , Issue.1 , pp. 25-41
    • Gadaras, I.1    Mikhailov, L.2
  • 17
    • 13544273825 scopus 로고    scopus 로고
    • Forecasting business profitability by using classification techniques: A comparative analysis based on a Spanish case
    • J. Andrés, M. Landajo, and P. Lorca Forecasting business profitability by using classification techniques: a comparative analysis based on a Spanish case European Journal of Operational Research 167 2 2005 518 542
    • (2005) European Journal of Operational Research , vol.167 , Issue.2 , pp. 518-542
    • Andrés, J.1    Landajo, M.2    Lorca, P.3
  • 22
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J.R. Quinlan Induction of decision trees Machine Learning 1 1986 81 106
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 23
    • 34248592215 scopus 로고    scopus 로고
    • A cascade learning system for classification of diabetes disease: Generalized discriminant analysis and least square support vector machine
    • K. Polat, S. Gunes, and A. Arslan A cascade learning system for classification of diabetes disease: generalized discriminant analysis and least square support vector machine Expert Systems with Applications 34 1 2008 482 487
    • (2008) Expert Systems with Applications , vol.34 , Issue.1 , pp. 482-487
    • Polat, K.1    Gunes, S.2    Arslan, A.3
  • 24
    • 0030189493 scopus 로고    scopus 로고
    • An intelligent approach to time series identification by a neural network-driven decision tree classifier
    • K.C. Lee, and S.B. Oh An intelligent approach to time series identification by a neural network-driven decision tree classifier Decision Support Systems 17 1996 183 197
    • (1996) Decision Support Systems , vol.17 , pp. 183-197
    • Lee, K.C.1    Oh, S.B.2
  • 29
    • 0035245385 scopus 로고    scopus 로고
    • Fuzzy modeling of client preference from large data sets: An application to target selection in direct marketing
    • M. Setnes, and U. Kaymak Fuzzy modeling of client preference from large data sets: an application to target selection in direct marketing IEEE Transactions on Fuzzy System 9 2001 153 163
    • (2001) IEEE Transactions on Fuzzy System , vol.9 , pp. 153-163
    • Setnes, M.1    Kaymak, U.2
  • 31
    • 0141801207 scopus 로고    scopus 로고
    • B.Sc. thesis, School of Information Technology and Electrical Engineering, University of Queenland
    • N. Cheung, Machine learning techniques for medical analysis, B.Sc. thesis, School of Information Technology and Electrical Engineering, University of Queenland, 2001.
    • (2001) Machine Learning Techniques for Medical Analysis
    • Cheung, N.1
  • 33
    • 33846816451 scopus 로고    scopus 로고
    • Identification of interpretable and accurate fuzzy classifiers and function estimators with hybrid methods
    • P. Pulkkinen, and H. Koivisto Identification of interpretable and accurate fuzzy classifiers and function estimators with hybrid methods Applied Soft Computing 7 2007 520 533
    • (2007) Applied Soft Computing , vol.7 , pp. 520-533
    • Pulkkinen, P.1    Koivisto, H.2
  • 34
    • 0028219772 scopus 로고
    • Application of backpropagation neural networks to diagnosis of breast and ovarian cancer
    • P. Wilding, M.A. Morgan, A.E. Grygotis, M.A. Shoffner, and E.F. Rosato Application of backpropagation neural networks to diagnosis of breast and ovarian cancer Cancer Letters 77 1994 145 153
    • (1994) Cancer Letters , vol.77 , pp. 145-153
    • Wilding, P.1    Morgan, M.A.2    Grygotis, A.E.3    Shoffner, M.A.4    Rosato, E.F.5
  • 36
    • 34248582401 scopus 로고    scopus 로고
    • A TSK type fuzzy rule based system for stock price prediction
    • P.C. Chang, and C.-H. Liu A TSK type fuzzy rule based system for stock price prediction Expert Systems with Applications 34 1 2008 135 144
    • (2008) Expert Systems with Applications , vol.34 , Issue.1 , pp. 135-144
    • Chang, P.C.1    Liu, C.-H.2
  • 37
    • 33144475976 scopus 로고    scopus 로고
    • Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry
    • P.C. Chang, and Y.W. Wang Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry Expert Systems with Applications 30 4 2006 715 726
    • (2006) Expert Systems with Applications , vol.30 , Issue.4 , pp. 715-726
    • Chang, P.C.1    Wang, Y.W.2
  • 38
    • 30344446393 scopus 로고    scopus 로고
    • Combing SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory
    • P.C. Chang, and T.W. Liao Combing SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory Applied Soft Computing 6 2 2006 198 206
    • (2006) Applied Soft Computing , vol.6 , Issue.2 , pp. 198-206
    • Chang, P.C.1    Liao, T.W.2
  • 40
    • 56349157405 scopus 로고    scopus 로고
    • Evolving and clustering fuzzy decision tree for financial time series data forecasting
    • R.K. Lai, C.-Y. Fan, W.-H. Huang, and P.-C. Chang Evolving and clustering fuzzy decision tree for financial time series data forecasting Expert Systems with Applications 36 2-2 2009 3761 3773
    • (2009) Expert Systems with Applications , vol.36 , Issue.22 , pp. 3761-3773
    • Lai, R.K.1    Fan, C.-Y.2    Huang, W.-H.3    Chang, P.-C.4
  • 41
    • 0034159928 scopus 로고    scopus 로고
    • Generating concise and accurate classification rules for breast cancer diagnosis
    • R. Setiono Generating concise and accurate classification rules for breast cancer diagnosis Artificial Intelligence in Medicine 18 2000 205 219
    • (2000) Artificial Intelligence in Medicine , vol.18 , pp. 205-219
    • Setiono, R.1
  • 42
    • 0030109008 scopus 로고    scopus 로고
    • Symbolic representation of neural networks
    • R. Setiono, and H. Liu Symbolic representation of neural networks Computer 29 3 1996 71 77
    • (1996) Computer , vol.29 , Issue.3 , pp. 71-77
    • Setiono, R.1    Liu, H.2
  • 44
    • 0041339769 scopus 로고    scopus 로고
    • Supervised fuzzy clustering for the identification of fuzzy classifiers
    • János Abonyi, and Ferenc Szeifert Supervised fuzzy clustering for the identification of fuzzy classifiers Pattern Recognition Letters 24 14 2003 2195 2207
    • (2003) Pattern Recognition Letters , vol.24 , Issue.14 , pp. 2195-2207
    • Abonyi, J.1    Szeifert, F.2
  • 45
    • 10244251598 scopus 로고    scopus 로고
    • Combining genetic algorithms and neural networks to build a signal pattern classifier
    • R.S. Youssif, and C.N. Purdy Combining genetic algorithms and neural networks to build a signal pattern classifier Neurocomputing 61 2004 39 56
    • (2004) Neurocomputing , vol.61 , pp. 39-56
    • Youssif, R.S.1    Purdy, C.N.2
  • 46
    • 0030087643 scopus 로고    scopus 로고
    • Extracting rules from pruned neural networks for breast cancer diagnosis
    • R. Setiono Extracting rules from pruned neural networks for breast cancer diagnosis Artificial Intelligence in Medicine 8 1 1996 37 51
    • (1996) Artificial Intelligence in Medicine , vol.8 , Issue.1 , pp. 37-51
    • Setiono, R.1
  • 48
    • 0014129195 scopus 로고
    • Hierarchical clustering schemes
    • S.C. Johnson Hierarchical clustering schemes Psychometrika 2 1967 241 254
    • (1967) Psychometrika , vol.2 , pp. 241-254
    • Johnson, S.C.1
  • 50
    • 0030262739 scopus 로고    scopus 로고
    • An interactive-graphic environment for automatic generation of decision trees
    • T. Kervahut, and J.Y. Potvin An interactive-graphic environment for automatic generation of decision trees Decision Support Systems 18 2 1996 117 134
    • (1996) Decision Support Systems , vol.18 , Issue.2 , pp. 117-134
    • Kervahut, T.1    Potvin, J.Y.2
  • 51
    • 0036582564 scopus 로고    scopus 로고
    • Bayesian framework for least squares support vector machine classifiers, Gaussian processes and kernel fisher discriminant analysis
    • T. Van Gestel, J.A.K. Suykens, G. Lanckriet, A. Lambrechts, B.D. Moor, and J. Vandewalle Bayesian framework for least squares support vector machine classifiers, Gaussian processes and kernel fisher discriminant analysis Neural Computation 14 5 2002 1115 1147
    • (2002) Neural Computation , vol.14 , Issue.5 , pp. 1115-1147
    • Van Gestel, T.1    Suykens, J.A.K.2    Lanckriet, G.3    Lambrechts, A.4    Moor, B.D.5    Vandewalle, J.6
  • 55
    • 0027512684 scopus 로고
    • Artificial neural networks in mammography: Application to decision making in the diagnosis of breast cancer
    • Y.-Z. Wu, M.-L. Giger, K. Doi, C.J. Vyborny, R.A. Schmidt, and C.E. Metz Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer Radiology 187 1993 81 87
    • (1993) Radiology , vol.187 , pp. 81-87
    • Wu, Y.-Z.1    Giger, M.-L.2    Doi, K.3    Vyborny, C.J.4    Schmidt, R.A.5    Metz, C.E.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.