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Volumn 38, Issue 9, 2014, Pages

An intelligent system for lung cancer diagnosis using a new genetic algorithm based feature selection method

Author keywords

Diagnosis; Feature selection; Genetic algorithm; Lung cancer; Machine learning

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CLASSIFICATION ALGORITHM; CLASSIFIER; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; GENETIC ALGORITHM; HUMAN; K NEAREST NEIGHBOR; LUNG CANCER; SCORING SYSTEM; SUPPORT VECTOR MACHINE; ALGORITHM; ARTIFICIAL INTELLIGENCE; LUNG NEOPLASMS; MATHEMATICAL PHENOMENA;

EID: 84905560564     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-014-0097-y     Document Type: Article
Times cited : (43)

References (31)
  • 1
    • 34248545094 scopus 로고    scopus 로고
    • Principles component analysis, fuzzy weighting pre-processing and artificial immune recognition system based diagnostic system for diagnosis of lung cancer
    • DOI 10.1016/j.eswa.2006.09.001, PII S0957417406002703
    • Polat, K., and Gunes, S., Principles component analysis, fuzzy weighting pre-processing and artificial immune recognition system based diagnostic system for diagnosis of lung cancer. Expert Syst. Appl. 34(1):214-221, 2008. (Pubitemid 46756251)
    • (2008) Expert Systems with Applications , vol.34 , Issue.1 , pp. 214-221
    • Polat, K.1    Gunes, S.2
  • 2
    • 84874729521 scopus 로고    scopus 로고
    • Intelligent medical disease diagnosis using improved hybrid genetic algorithm-multilayer perceptron network
    • Ahmad, F., Isa, N., Hussain, Z., and Osman, M., Intelligent medical disease diagnosis using improved hybrid genetic algorithm-multilayer perceptron network. J. Med. Syst. 37(2):1-8, 2013.
    • (2013) J. Med. Syst. , vol.37 , Issue.2 , pp. 1-8
    • Ahmad, F.1    Isa, N.2    Hussain, Z.3    Osman, M.4
  • 3
    • 84874382643 scopus 로고    scopus 로고
    • An automated diagnosis system of liver disease using artificial immune and genetic algorithms
    • Liang, C., and Peng, L., An automated diagnosis system of liver disease using artificial immune and genetic algorithms. J. Med. Syst. 37(2):1-10, 2013.
    • (2013) J. Med. Syst. , vol.37 , Issue.2 , pp. 1-10
    • Liang, C.1    Peng, L.2
  • 4
    • 84866891179 scopus 로고    scopus 로고
    • Computer-aided diagnosis of lung cancer based on analysis of the significant slice of chest computed tomography image
    • Elizabeth, D. S., Nehemiah, H. K., Retmin Raj, C. S., and Kannan, A., Computer-aided diagnosis of lung cancer based on analysis of the significant slice of chest computed tomography image. IET Image Process. 6(6):697-705, 2010.
    • (2010) IET Image Process. , vol.6 , Issue.6 , pp. 697-705
    • Elizabeth, D.S.1    Nehemiah, H.K.2    Retmin Raj, C.S.3    Kannan, A.4
  • 5
    • 84872108571 scopus 로고    scopus 로고
    • Amedical decision support systembased on support vector machines and the genetic algorithm for the evaluation of fetal well-being
    • Ocak, H., Amedical decision support systembased on support vector machines and the genetic algorithm for the evaluation of fetal well-being. J. Med. Syst. 37(2):1-9, 2013.
    • (2013) J. Med. Syst. , vol.37 , Issue.2 , pp. 1-9
    • Ocak, H.1
  • 6
    • 84864062567 scopus 로고    scopus 로고
    • A new expert system for diagnosis of lung cancer: GDALS-SVM
    • Avci, E., A new expert system for diagnosis of lung cancer: GDALS-SVM. J. Med. Syst. 36(3):2005-2009, 2011.
    • (2011) J. Med. Syst. , vol.36 , Issue.3 , pp. 2005-2009
    • Avci, E.1
  • 7
    • 84869493280 scopus 로고    scopus 로고
    • Genetic algorithm wrapped Bayesian network feature selection applied to differential diagnosis of erythemato-squamous diseases
    • Özçift, A., and Gülten, A., Genetic algorithm wrapped Bayesian network feature selection applied to differential diagnosis of erythemato-squamous diseases. Digit. Signal. Process. 23(1):230-237, 2013.
    • (2013) Digit. Signal. Process. , vol.23 , Issue.1 , pp. 230-237
    • Özçift, A.1    Gülten, A.2
  • 8
    • 84875368780 scopus 로고    scopus 로고
    • Feature selection formedical diagnosis: Evaluation for cardiovascular diseases
    • Shilaskar, S., and Ghatol, A., Feature selection formedical diagnosis: Evaluation for cardiovascular diseases. Expert Syst. Appl. 40(10):4146-4153, 2013.
    • (2013) Expert Syst. Appl. , vol.40 , Issue.10 , pp. 4146-4153
    • Shilaskar, S.1    Ghatol, A.2
  • 9
    • 84887472714 scopus 로고    scopus 로고
    • A GA-based feature selection approach with an application to handwritten character recognition
    • De Stefano, C., Fontanella, F., Marrocco, C., and Scotto Di Freca, A., A GA-based feature selection approach with an application to handwritten character recognition. Pattern Recogn. Lett. 35:130-141, 2014.
    • (2014) Pattern Recogn. Lett. , vol.35 , pp. 130-141
    • De Stefano, C.1    Fontanella, F.2    Marrocco, C.3    Scotto Di Freca, A.4
  • 10
    • 0024895461 scopus 로고
    • A note on genetic algorithms for large-scale feature selection
    • Siedlecki, W., and Sklansky, J., A note on genetic algorithms for large-scale feature selection. Pattern Recogn. Lett. 10(5):335-347, 1989.
    • (1989) Pattern Recogn. Lett. , vol.10 , Issue.5 , pp. 335-347
    • Siedlecki, W.1    Sklansky, J.2
  • 12
    • 0033640901 scopus 로고    scopus 로고
    • Comparison of algorithms that select features for pattern classifiers
    • DOI 10.1016/S0031-3203(99)00041-2
    • Kudo, M., and Sklansky, J., Comparison of algorithms that select features for pattern recognition. Pattern Recogn. 33(1):25-41, 2000. (Pubitemid 32081876)
    • (2000) Pattern Recognition , vol.33 , Issue.1 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2
  • 13
    • 84863210448 scopus 로고    scopus 로고
    • A hybrid automatic system for the diagnosis of lung cancer based on genetic algorithm and fuzzy extreme learning machines
    • Daliri, M. R., A hybrid automatic system for the diagnosis of lung cancer based on genetic algorithm and fuzzy extreme learning machines. J. Med. Syst. 36(2):1001-1005, 2012.
    • (2012) J. Med. Syst. , vol.36 , Issue.2 , pp. 1001-1005
    • Daliri, M.R.1
  • 14
    • 79955591509 scopus 로고    scopus 로고
    • An optimal tumor marker group-coupled artificial neural network for diagnosis of lung cancer
    • Wu, Y. G., Wu, Y. M., Wang, J., Yan, Z., Qu, L. B., Xiang, B. R., and Zhang, Y. G., An optimal tumor marker group-coupled artificial neural network for diagnosis of lung cancer. Expert Syst. Appl. 38(9):11329-11334, 2011.
    • (2011) Expert Syst. Appl. , vol.38 , Issue.9 , pp. 11329-11334
    • Wu, Y.G.1    Wu, Y.M.2    Wang, J.3    Yan, Z.4    Qu, L.B.5    Xiang, B.R.6    Zhang, Y.G.7
  • 15
    • 67349231310 scopus 로고    scopus 로고
    • Using support vector machine with a hybrid feature selection method to the stock trend prediction
    • Lee, M. C., Using support vector machine with a hybrid feature selection method to the stock trend prediction. Expert Syst. Appl. 36(8):10896-10904, 2009.
    • (2009) Expert Syst. Appl. , vol.36 , Issue.8 , pp. 10896-10904
    • Lee, M.C.1
  • 17
    • 56349089940 scopus 로고    scopus 로고
    • Support vector machines combined with feature selection for breast cancer diagnosis
    • Akay, M. F., Support vector machines combined with feature selection for breast cancer diagnosis. Expert Syst. Appl. 36(2):3240-3247, 2009.
    • (2009) Expert Syst. Appl. , vol.36 , Issue.2 , pp. 3240-3247
    • Akay, M.F.1
  • 18
    • 0028468293 scopus 로고
    • Using mutual information for selecting features in supervised neural net learning
    • Battiti, R., Using mutual information for selecting features in supervised neural net learning. IEEE Trans. Neural Networks 4(5):537-550, 1994.
    • (1994) IEEE Trans. Neural Networks , vol.4 , Issue.5 , pp. 537-550
    • Battiti, R.1
  • 19
    • 84860237900 scopus 로고    scopus 로고
    • Feature selection with missing data using mutual information estimators
    • Doquire, G., and Verleysen, M., Feature selection with missing data using mutual information estimators. Neurocomputing 90:3-11, 2012.
    • (2012) Neurocomputing , vol.90 , pp. 3-11
    • Doquire, G.1    Verleysen, M.2
  • 20
    • 84876143470 scopus 로고    scopus 로고
    • Feature selection techniques with class separability for multivariate time series
    • Han, M., and Liu, X. X., Feature selection techniques with class separability for multivariate time series. Neurocomputing 110:29-34, 2013.
    • (2013) Neurocomputing , vol.110 , pp. 29-34
    • Han, M.1    Liu, X.X.2
  • 21
    • 79151473975 scopus 로고    scopus 로고
    • Using support vector machines with a novel hybrid feature selection method for diagnosis of erythematosquamous diseases
    • Xie, J. Y., and Wang, C. X., Using support vector machines with a novel hybrid feature selection method for diagnosis of erythematosquamous diseases. Expert Syst. Appl. 38(5):5809-5815, 2011.
    • (2011) Expert Syst. Appl. , vol.38 , Issue.5 , pp. 5809-5815
    • Xie, J.Y.1    Wang, C.X.2
  • 22
    • 38649113208 scopus 로고    scopus 로고
    • Application of wrapper approach and composite classifier to the stock trend prediction
    • Huang, C. J., Yang, D. X., and Chuang, Y. T., Application of wrapper approach and composite classifier to the stock trend prediction. Expert Syst. Appl. 34(4):2870-2878, 2008.
    • (2008) Expert Syst. Appl. , vol.34 , Issue.4 , pp. 2870-2878
    • Huang, C.J.1    Yang, D.X.2    Chuang, Y.T.3
  • 23
    • 34249753618 scopus 로고
    • Support vector networks
    • Vapnik, V., and Cortes, C., Support vector networks. Mach. Learn. 20:273-297, 1989.
    • (1989) Mach. Learn. , vol.20 , pp. 273-297
    • Vapnik, V.1    Cortes, C.2
  • 24
    • 58349113384 scopus 로고    scopus 로고
    • A neural network with a case based dynamic window for stock trading prediction
    • Chang, P. C., Liu, C. H., Lin, J. L., Fan, C. Y., and Ng, C. P., A neural network with a case based dynamic window for stock trading prediction. Expert Syst. Appl. 36(3):6889-6898, 2009.
    • (2009) Expert Syst. Appl. , vol.36 , Issue.3 , pp. 6889-6898
    • Chang, P.C.1    Liu, C.H.2    Lin, J.L.3    Fan, C.Y.4    Ng, C.P.5
  • 25
    • 84863083806 scopus 로고    scopus 로고
    • A hybrid text classification approach with low dependency on parameter by integrating K-nearest neighbor and support vector machine
    • Wan, C. H., Lee, L. H., Rajkumar, R., and Isa, D., A hybrid text classification approach with low dependency on parameter by integrating K-nearest neighbor and support vector machine. Expert Syst. Appl. 39(15):11880-118888, 2012.
    • (2012) Expert Syst. Appl. , vol.39 , Issue.15 , pp. 11880-118888
    • Wan, C.H.1    Lee, L.H.2    Rajkumar, R.3    Isa, D.4
  • 26
    • 48049087439 scopus 로고    scopus 로고
    • Feature selection with kernel class separability
    • Wang, L., Feature selection with kernel class separability. IEEE Trans. Patt. Anal. Mach. Intell. 30(9):1534-1546, 2008.
    • (2008) IEEE Trans. Patt. Anal. Mach. Intell. , vol.30 , Issue.9 , pp. 1534-1546
    • Wang, L.1
  • 27
    • 78649934709 scopus 로고    scopus 로고
    • Irvine, CA: University of California, School of Information and Computer Science
    • Frank, A., and Asuncion, A., UCI machine learning repository (http://archive.ics.uci.edu/ml). Irvine, CA: University of California, School of Information and Computer Science, 2010.
    • (2010) UCI Machine Learning Repository
    • Frank, A.1    Asuncion, A.2
  • 29
    • 1942451938 scopus 로고    scopus 로고
    • Feature selection for high-dimensional data: A fast correlation-based filter solution
    • Washington, D.C.
    • Yu, L., and Liu, H., Feature selection for high-dimensional data: a fast correlation-based filter solution. In: Proceedings of the Twentieth Int. Conf. on Machine Learning (ICML-03), pp. 856-863, Washington, D.C., 2003.
    • (2003) Proceedings of the Twentieth Int. Conf. on Machine Learning (ICML-03) , pp. 856-863
    • Yu, L.1    Liu, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.