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Volumn 20, Issue , 2014, Pages 15-24

A hybrid classifier combining SMOTE with PSO to estimate 5-year survivability of breast cancer patients

Author keywords

Breast cancer; Classification; Oversampling technique; Particle swarm optimization; Synthetic minority

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DECISION TREES; DISEASES; PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84901612814     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.09.014     Document Type: Article
Times cited : (130)

References (41)
  • 1
    • 60249099439 scopus 로고    scopus 로고
    • A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method
    • W.C. Yeh, W.W. Chang, and Y.Y. Chung A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method Expert Systems with Applications 36 2009 8204 8211
    • (2009) Expert Systems with Applications , vol.36 , pp. 8204-8211
    • Yeh, W.C.1    Chang, W.W.2    Chung, Y.Y.3
  • 3
    • 79958056817 scopus 로고    scopus 로고
    • World Health Organization Retrieved September 22, 2010 from
    • World Health Organization Quick Cancer Facts 2010 Retrieved September 22, 2010 from http://www.who.int/cancer/en/
    • (2010) Quick Cancer Facts
  • 5
    • 78650716557 scopus 로고    scopus 로고
    • Classification of imbalanced data sets by using the hybrid re-sampling algorithm based on isomap
    • Q. Gu, Z. Cai, and L. Ziu Classification of imbalanced data sets by using the hybrid re-sampling algorithm based on isomap LNCS, Advances in Computation and Intelligence, 5821 2009 287 296
    • (2009) LNCS, Advances in Computation and Intelligence, 5821 , pp. 287-296
    • Gu, Q.1    Cai, Z.2    Ziu, L.3
  • 8
    • 80052951934 scopus 로고    scopus 로고
    • A combined SMOTE and PSO based RBF classier for two-class imbalanced problems
    • M. Gao, X. Hong, S. Chen, and C.J. Harris A combined SMOTE and PSO based RBF classier for two-class imbalanced problems Neurocomputing 74 2011 3456 3466
    • (2011) Neurocomputing , vol.74 , pp. 3456-3466
    • Gao, M.1    Hong, X.2    Chen, S.3    Harris, C.J.4
  • 11
    • 35148838577 scopus 로고    scopus 로고
    • Applying novel resampling strategies to software defect prediction
    • DOI 10.1109/NAFIPS.2007.383813, 4271036, NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society
    • L. Pelayo, and S. Dick Applying novel resampling strategies to software defect prediction Proceedings of the Annual Meeting of the North American Fuzzy Information Processing Society 2007 69 72 (Pubitemid 47533936)
    • (2007) Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS , pp. 69-72
    • Pelayo, L.1    Dick, S.2
  • 14
    • 22344432656 scopus 로고    scopus 로고
    • Comparison among five evolutionary-based optimization algorithms
    • DOI 10.1016/j.aei.2005.01.004, PII S1474034605000091
    • E. Elbeltagi, T. Hegazy, and D. Grierson Comparison among five evolutionary-based optimization algorithms Advanced Engineering Informatics 19 2005 43 53 (Pubitemid 41000265)
    • (2005) Advanced Engineering Informatics , vol.19 , Issue.1 , pp. 43-53
    • Elbeltagi, E.1    Hegazy, T.2    Grierson, D.3
  • 15
    • 84878154666 scopus 로고    scopus 로고
    • Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients
    • S.M. Vieira, L.F. Mendonca, F.J. Farinha, and J.M.C. Sousa Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients Applied Soft Computing 13 2013 3494 3504
    • (2013) Applied Soft Computing , vol.13 , pp. 3494-3504
    • Vieira, S.M.1    Mendonca, L.F.2    Farinha, F.J.3    Sousa, J.M.C.4
  • 17
    • 77950188544 scopus 로고    scopus 로고
    • A new approach for allocation and sizing of multiple active power-line conditioners
    • I. Ziari, and A. Jalilian A new approach for allocation and sizing of multiple active power-line conditioners IEEE Transactions on Power Delivery 25 2 2010 1026 1035
    • (2010) IEEE Transactions on Power Delivery , vol.25 , Issue.2 , pp. 1026-1035
    • Ziari, I.1    Jalilian, A.2
  • 18
    • 77957898653 scopus 로고    scopus 로고
    • Application of particle swarm optimization to association rule mining
    • R.J. Kuo, C.M. Chao, and Y.T. Chiu Application of particle swarm optimization to association rule mining Applied Soft Computing 11 2011 326 336
    • (2011) Applied Soft Computing , vol.11 , pp. 326-336
    • Kuo, R.J.1    Chao, C.M.2    Chiu, Y.T.3
  • 20
    • 79959415165 scopus 로고    scopus 로고
    • Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
    • D. Calcada, A. Rosa, L.C. Duarte, and V.V. Lopes Comparison of GA and PSO performance in parameter estimation of microbial growth models: a case-study using experimental data 2010 IEEE Congress on Evolutionary Computation (CEC) 2010 1 8
    • (2010) 2010 IEEE Congress on Evolutionary Computation (CEC) , pp. 1-8
    • Calcada, D.1    Rosa, A.2    Duarte, L.C.3    Lopes, V.V.4
  • 21
    • 37249009707 scopus 로고    scopus 로고
    • A hybrid genetic algorithm and particle swarm optimization for multimodal functions
    • DOI 10.1016/j.asoc.2007.07.002, PII S1568494607000683
    • Y.-T. Kao, and E. Zahara A hybrid genetic algorithm and particle swarm optimization for multimodal functions Applied Soft Computing 8 2008 849 857 (Pubitemid 350266482)
    • (2008) Applied Soft Computing Journal , vol.8 , Issue.2 , pp. 849-857
    • Kao, Y.-T.1    Zahara, E.2
  • 22
    • 84863776233 scopus 로고    scopus 로고
    • Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning model
    • S.H. Ling, and H.T. Nguyen Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning model Artificial Intelligence in Medicine 55 2012 177 184
    • (2012) Artificial Intelligence in Medicine , vol.55 , pp. 177-184
    • Ling, S.H.1    Nguyen, H.T.2
  • 23
    • 84862124606 scopus 로고    scopus 로고
    • Electrocardiographic signals and swarm-based support vector machine for hypoglycemia detection
    • N. Nuryani, S.S. Ling, and H.T. Nguyen Electrocardiographic signals and swarm-based support vector machine for hypoglycemia detection Annals of Biomedical Engineering 40 4 2013 934 945
    • (2013) Annals of Biomedical Engineering , vol.40 , Issue.4 , pp. 934-945
    • Nuryani, N.1    Ling, S.S.2    Nguyen, H.T.3
  • 24
    • 71549117908 scopus 로고    scopus 로고
    • A particle swarm based hybrid system for imbalanced medical data sampling
    • S34 1-14
    • P. Yang, L. Xu, B.B. Zhou, Z. Zhang, and A.Y. Zomaya A particle swarm based hybrid system for imbalanced medical data sampling BMC Genomics 10 Suppl. 3 2009 S34 1-14
    • (2009) BMC Genomics , vol.10 , Issue.SUPPL. 3
    • Yang, P.1    Xu, L.2    Zhou, B.B.3    Zhang, Z.4    Zomaya, A.Y.5
  • 27
    • 64549153563 scopus 로고    scopus 로고
    • Combination of modified BPNN algorithms and an efficient feature selection method for text categorization
    • C. Li, and S.C. Park Combination of modified BPNN algorithms and an efficient feature selection method for text categorization Information Processing and Management 45 2009 329 340
    • (2009) Information Processing and Management , vol.45 , pp. 329-340
    • Li, C.1    Park, S.C.2
  • 28
    • 67649088036 scopus 로고    scopus 로고
    • A neural network classifier with rough set-based feature selection to classify multiclass IC package products
    • Y.H. Hung A neural network classifier with rough set-based feature selection to classify multiclass IC package products Advanced Engineering Informatics 23 2009 348 357
    • (2009) Advanced Engineering Informatics , vol.23 , pp. 348-357
    • Hung, Y.H.1
  • 29
    • 69249202329 scopus 로고    scopus 로고
    • Improving the training time of support vector regression algorithms through novel hyper-parameters search space reductions
    • E.G. Ortiz-GarcÍIa, S. Salcedo-Sanz, A.M. Perez-Bellido, and J.A. Portilla-Figueras Improving the training time of support vector regression algorithms through novel hyper-parameters search space reductions Neurocomputing 72 2009 3683 3691
    • (2009) Neurocomputing , vol.72 , pp. 3683-3691
    • Ortiz-Garcíia, E.G.1    Salcedo-Sanz, S.2    Perez-Bellido, A.M.3    Portilla-Figueras, J.A.4
  • 31
    • 84875066475 scopus 로고    scopus 로고
    • Particle swarm optimization for feature selection with application in obstructive sleep apnea diagnosis
    • L.F. Chen, C.T. Su, K.H. Chen, and P.C. Wang Particle swarm optimization for feature selection with application in obstructive sleep apnea diagnosis Neural Computing and Applications 2011 1 10
    • (2011) Neural Computing and Applications , pp. 1-10
    • Chen, L.F.1    Su, C.T.2    Chen, K.H.3    Wang, P.C.4
  • 32
    • 9444297357 scopus 로고    scopus 로고
    • SMOTEBoost: Improving Prediction of the Minority Class in Boosting
    • Knowledge Discovery in Databases: PKDD 2003
    • N.V. Chawla, A. Lazarevic, L.O. Hall, and K.W. Bowyer SMOTEBoost: improving prediction of the minority class in boosting Proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Database 2003 107 119 (Pubitemid 37231089)
    • (2003) Lecture Notes in Computer Science , Issue.2838 , pp. 107-119
    • Chawla, N.V.1    Lazarevic, A.2    Hall, L.O.3    Bowyer, K.W.4
  • 36
    • 0003508724 scopus 로고    scopus 로고
    • 2nd ed. A Wiley-Interscience Publication, John Wiley & Sons Inc. New York, New York, USA
    • D.W. Hosmer, and S. Lemeshow Applied Logistic Regression 2nd ed. 2000 A Wiley-Interscience Publication, John Wiley & Sons Inc. New York, New York, USA
    • (2000) Applied Logistic Regression
    • Hosmer, D.W.1    Lemeshow, S.2
  • 41
    • 84901599078 scopus 로고    scopus 로고
    • Surveillance, Epidemiology, and End Results (SEER) Program
    • SEER National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch, released April 2010 based on the November 2009 submission.
    • SEER (2010) Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) Research Data (1973-2007). National Cancer Institute, DCCPS, Surveillance Research Program, Cancer Statistics Branch, released April 2010 based on the November 2009 submission.
    • (2010) Research Data (1973-2007)


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