메뉴 건너뛰기




Volumn 23, Issue 1, 2013, Pages 230-237

Genetic algorithm wrapped Bayesian network feature selection applied to differential diagnosis of erythemato-squamous diseases

Author keywords

Bayesian network; Best first search; Erythemato squamous; Genetic algorithm; Medical diagnosis; Sequential floating search; Wrapper feature selection

Indexed keywords

BARIUM COMPOUNDS; BAYESIAN NETWORKS; COMPUTER AIDED DIAGNOSIS; DATA MINING; DECISION TREES; DIAGNOSIS; FEATURE EXTRACTION; HEURISTIC ALGORITHMS; SUPPORT VECTOR MACHINES;

EID: 84869493280     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2012.07.008     Document Type: Article
Times cited : (49)

References (40)
  • 1
    • 0037233407 scopus 로고    scopus 로고
    • An inductive learning method for medical diagnosis
    • G. Lashkia, and L. Anthony An inductive learning method for medical diagnosis Pattern Recognit. Lett. 24 2003 273 282
    • (2003) Pattern Recognit. Lett. , vol.24 , pp. 273-282
    • Lashkia, G.1    Anthony, L.2
  • 2
    • 0343441518 scopus 로고    scopus 로고
    • An expert system for the differential diagnosis of erythemato-squamous diseases
    • H.A. Guvenir, and N. Emeksiz An expert system for the differential diagnosis of erythemato-squamous diseases Expert Syst. Appl. 18 2000 39 43
    • (2000) Expert Syst. Appl. , vol.18 , pp. 39-43
    • Guvenir, H.A.1    Emeksiz, N.2
  • 3
    • 0032127185 scopus 로고    scopus 로고
    • Learning differential diagnosis of erythemato-squamous diseases using voting feature intervals
    • H.A. Guvenir, and G. Demiroz Learning differential diagnosis of erythemato-squamous diseases using voting feature intervals Artif. Intell. Med. 13 1998 147 165
    • (1998) Artif. Intell. Med. , vol.13 , pp. 147-165
    • Guvenir, H.A.1    Demiroz, G.2
  • 4
    • 48749124392 scopus 로고    scopus 로고
    • Multiclass support vector machines for diagnosis of erythemato-squamous diseases
    • E.D. Ubeyli Multiclass support vector machines for diagnosis of erythemato-squamous diseases Expert Syst. Appl. 35 2008 1733 1740
    • (2008) Expert Syst. Appl. , vol.35 , pp. 1733-1740
    • Ubeyli, E.D.1
  • 5
    • 67650684622 scopus 로고    scopus 로고
    • On the relationship between feature selection and classification accuracy
    • W.N. Gansterer, and G.F. Ecker On the relationship between feature selection and classification accuracy Work 4 2008 90 105
    • (2008) Work , vol.4 , pp. 90-105
    • Gansterer, W.N.1    Ecker, G.F.2
  • 6
    • 32544456756 scopus 로고    scopus 로고
    • An ensemble of classifiers for the diagnosis of erythemato-squamous diseases
    • L. Nanni An ensemble of classifiers for the diagnosis of erythemato-squamous diseases Neurocomputing 69 2006 842 845
    • (2006) Neurocomputing , vol.69 , pp. 842-845
    • Nanni, L.1
  • 7
    • 33751185331 scopus 로고    scopus 로고
    • The effect to diagnostic accuracy of decision tree classifier of fuzzy and k-NN based weighted pre-processing methods to diagnosis of erythemato-squamous diseases
    • K. Polat, and S. Günes The effect to diagnostic accuracy of decision tree classifier of fuzzy and k-NN based weighted pre-processing methods to diagnosis of erythemato-squamous diseases Digital Signal Process. 16 2006 922 930
    • (2006) Digital Signal Process. , vol.16 , pp. 922-930
    • Polat, K.1    Günes, S.2
  • 8
    • 84863201190 scopus 로고    scopus 로고
    • A robust multiclass feature selection strategy based on rotation forest ensemble algorithm for diagnosis of erythemato-squamous diseases
    • A. Ozcift, and A. Gulten A robust multiclass feature selection strategy based on rotation forest ensemble algorithm for diagnosis of erythemato-squamous diseases J. Med. Syst. 36 2010 941 949
    • (2010) J. Med. Syst. , vol.36 , pp. 941-949
    • Ozcift, A.1    Gulten, A.2
  • 9
    • 69249232103 scopus 로고    scopus 로고
    • A new feature selection method based on association rules for diagnosis of erythemato-squamous diseases
    • M. Karabatak, and M.C. İnce A new feature selection method based on association rules for diagnosis of erythemato-squamous diseases Expert Syst. Appl. 36 2009 12500 12505
    • (2009) Expert Syst. Appl. , vol.36 , pp. 12500-12505
    • Karabatak, M.1    Ince, M.C.2
  • 10
    • 79151473975 scopus 로고    scopus 로고
    • Using support vector machines with a novel hybrid feature selection method for diagnosis of erythemato-squamous diseases
    • J. Xie, and C. Wang Using support vector machines with a novel hybrid feature selection method for diagnosis of erythemato-squamous diseases Expert Syst. Appl. 38 2011 5809 5815
    • (2011) Expert Syst. Appl. , vol.38 , pp. 5809-5815
    • Xie, J.1    Wang, C.2
  • 11
    • 84869508924 scopus 로고    scopus 로고
    • Automatic detection of erythemato-squamous diseases using PSO-SVM based on association rules
    • M.J. Abdi, and D. Giveki Automatic detection of erythemato-squamous diseases using PSO-SVM based on association rules Eng. Appl. Artif. Intell. 2012
    • (2012) Eng. Appl. Artif. Intell.
    • Abdi, M.J.1    Giveki, D.2
  • 12
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • I. Guyon, J. Weston, and V. Vapnik Gene selection for cancer classification using support vector machines Mach. Learn. 46 2002 389 422
    • (2002) Mach. Learn. , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Vapnik, V.3
  • 13
    • 67349257422 scopus 로고    scopus 로고
    • Research of multi-population agent genetic algorithm for feature selection
    • Y.M. Li Research of multi-population agent genetic algorithm for feature selection Expert Syst. Appl. 36 2009 11570 11581
    • (2009) Expert Syst. Appl. , vol.36 , pp. 11570-11581
    • Li, Y.M.1
  • 14
    • 74649087307 scopus 로고    scopus 로고
    • A novel feature selection approach for biomedical data classification
    • Y.H. Peng A novel feature selection approach for biomedical data classification J. Biomed. Inform. 43 2010 15 23
    • (2010) J. Biomed. Inform. , vol.43 , pp. 15-23
    • Peng, Y.H.1
  • 15
    • 33745891586 scopus 로고    scopus 로고
    • Studies in Fuzziness and Soft Computing Springer-Verlag Berlin, Heidelberg
    • I. Guyon Feature Extraction Foundations and Applications Studies in Fuzziness and Soft Computing 2006 Springer-Verlag Berlin, Heidelberg 119 135
    • (2006) Feature Extraction Foundations and Applications , pp. 119-135
    • Guyon, I.1
  • 17
    • 33646488015 scopus 로고    scopus 로고
    • 2D autocorrelation modeling of the negative inotropic activity of calcium entry blockers using Bayesian-regularized genetic neural networks
    • J. Caballero, M. Garriga, and M. Fernández 2D autocorrelation modeling of the negative inotropic activity of calcium entry blockers using Bayesian-regularized genetic neural networks Bioorg. Med. Chem. 14 2006 3330 3340
    • (2006) Bioorg. Med. Chem. , vol.14 , pp. 3330-3340
    • Caballero, J.1    Garriga, M.2    Fernández, M.3
  • 18
    • 50949094134 scopus 로고    scopus 로고
    • Prediction of protein structure class by coupling improved genetic algorithm and support vector machine
    • Z.C. Li, and X.B. Zhou Prediction of protein structure class by coupling improved genetic algorithm and support vector machine Amino Acids 35 3 2008 581 590
    • (2008) Amino Acids , vol.35 , Issue.3 , pp. 581-590
    • Li, Z.C.1    Zhou, X.B.2
  • 19
    • 65249145330 scopus 로고    scopus 로고
    • Using genetic algorithms to select most predictive protein features
    • A. Kernytsky, and B. Rost Using genetic algorithms to select most predictive protein features Proteins 75 2009 75 88
    • (2009) Proteins , vol.75 , pp. 75-88
    • Kernytsky, A.1    Rost, B.2
  • 20
    • 37249079759 scopus 로고    scopus 로고
    • Selecting critical clinical features for heart diseases diagnosis with a real-coded genetic algorithm
    • H. Yan, J. Zheng, Y. Jiang, C. Peng, and S. Xiao Selecting critical clinical features for heart diseases diagnosis with a real-coded genetic algorithm Appl. Soft Comput. 8 2008 1105 1111
    • (2008) Appl. Soft Comput. , vol.8 , pp. 1105-1111
    • Yan, H.1    Zheng, J.2    Jiang, Y.3    Peng, C.4    Xiao, S.5
  • 21
    • 80055106194 scopus 로고    scopus 로고
    • Enhanced prediction of heart disease with feature subset selection using genetic algorithm
    • M. Anbarasi, and E. Anupriya Enhanced prediction of heart disease with feature subset selection using genetic algorithm Int. J. Eng. Sci. Technol. 2 10 2010 5370 5376
    • (2010) Int. J. Eng. Sci. Technol. , vol.2 , Issue.10 , pp. 5370-5376
    • Anbarasi, M.1    Anupriya, E.2
  • 22
    • 77953500232 scopus 로고    scopus 로고
    • SVM based decision support system for heart disease classification with integer-coded genetic algorithm to select critical features
    • San Francisco, USA, October 22-24
    • S. Bhatia, P. Prakash, G.N. Pillai, SVM based decision support system for heart disease classification with integer-coded genetic algorithm to select critical features, in: Proceedings of the World Congress on Engineering and Computer Science, WCECS 2008, San Francisco, USA, October 22-24, 2008.
    • (2008) Proceedings of the World Congress on Engineering and Computer Science, WCECS 2008
    • Bhatia, S.1    Prakash, P.2    Pillai, G.N.3
  • 23
    • 84869496612 scopus 로고    scopus 로고
    • Feature selection for breast cancer diagnosis: A case-based wrapper approach
    • M. Darzi, A.A Liaei, M. Hosseini, and H. Asghari Feature selection for breast cancer diagnosis: a case-based wrapper approach World Acad. Sci. Eng. Technol. 77 2011 1142 1145
    • (2011) World Acad. Sci. Eng. Technol. , vol.77 , pp. 1142-1145
    • Darzi, M.1    Liaei, A.A.2    Hosseini, M.3    Asghari, H.4
  • 24
    • 77951771109 scopus 로고    scopus 로고
    • IG-GA: A hybrid filter/wrapper method for feature selection of microarray data
    • C.H. Yang, L. Chuang, and C.H. Yang IG-GA: a hybrid filter/wrapper method for feature selection of microarray data J. Med. Biol. Eng. 30 1 2009 23 28
    • (2009) J. Med. Biol. Eng. , vol.30 , Issue.1 , pp. 23-28
    • Yang, C.H.1    Chuang, L.2    Yang, C.H.3
  • 25
    • 84856194417 scopus 로고    scopus 로고
    • Automatic disease diagnosis systems using pattern recognition based genetic algorithm and neural networks
    • M. Adeli, and H. Zarabadipour Automatic disease diagnosis systems using pattern recognition based genetic algorithm and neural networks Int. J. Phys. Sci. 6 25 2011 6076 6081
    • (2011) Int. J. Phys. Sci. , vol.6 , Issue.25 , pp. 6076-6081
    • Adeli, M.1    Zarabadipour, H.2
  • 26
    • 58249101395 scopus 로고    scopus 로고
    • Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification
    • Y. Marinakis, G. Dounias, and J. Jantzen Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification Comput. Biol. Med. 39 2009 69 78
    • (2009) Comput. Biol. Med. , vol.39 , pp. 69-78
    • Marinakis, Y.1    Dounias, G.2    Jantzen, J.3
  • 27
    • 78951476312 scopus 로고    scopus 로고
    • A genetic algorithm-Bayesian network approach for the analysis of metabolomics and spectroscopic data: Application to the rapid identification of Bacillus spores and classification of Bacillus species
    • E. Correa, and R. Goodacre A genetic algorithm-Bayesian network approach for the analysis of metabolomics and spectroscopic data: application to the rapid identification of Bacillus spores and classification of Bacillus species BMC Bioinform. 12 2011 33
    • (2011) BMC Bioinform. , vol.12 , pp. 33
    • Correa, E.1    Goodacre, R.2
  • 28
    • 0022094206 scopus 로고
    • Generalized best-first search strategies and the optimality of A*
    • R. Dechter, and J. Pearl Generalized best-first search strategies and the optimality of A* J. Assoc. Comput. Mach. 32 1985 505 536
    • (1985) J. Assoc. Comput. Mach. , vol.32 , pp. 505-536
    • Dechter, R.1    Pearl, J.2
  • 30
    • 57049125539 scopus 로고    scopus 로고
    • Fault diagnosis of industrial systems with Bayesian networks and neural networks
    • Mexico Lecture Notes in Computer Science Springer
    • L.E.G. Castanon Fault diagnosis of industrial systems with Bayesian networks and neural networks 7th Mexican International Conference on Artificial Intelligence Mexico Lecture Notes in Computer Science vol. 5317 2008 Springer 998 1008
    • (2008) 7th Mexican International Conference on Artificial Intelligence , vol.5317 , pp. 998-1008
    • Castanon, L.E.G.1
  • 33
    • 80855135228 scopus 로고    scopus 로고
    • Data Mining: Practical Machine Learning Tools and Techniques
    • pp. 153-168, 276-283
    • I.H. Witten Data Mining: Practical Machine Learning Tools and Techniques Morgan Kaufmann Series in Data Management Systems 2005 pp. 153-168, 276-283
    • (2005) Morgan Kaufmann Series in Data Management Systems
    • Witten, I.H.1
  • 37
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • G. Cybenko Approximation by superpositions of a sigmoidal function Math. Control Signals Syst. 2 4 1989 303 314
    • (1989) Math. Control Signals Syst. , vol.2 , Issue.4 , pp. 303-314
    • Cybenko, G.1
  • 40
    • 3543051838 scopus 로고    scopus 로고
    • Functional trees
    • J. Gama Functional trees Mach. Learn. 2004 219 250
    • (2004) Mach. Learn. , pp. 219-250
    • Gama, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.