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Volumn 1, Issue 3, 2008, Pages 275-294

An ensemble machine learning approach to predict survival in breast cancer

Author keywords

bioinformatics; breast cancer prognosis; computational biology; data mining; knowledge discovery; machine learning

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; BREAST TUMOR; CLASSIFICATION; COMPUTER SIMULATION; DNA MICROARRAY; FEMALE; GENE EXPRESSION PROFILING; GENETIC DATABASE; GENETICS; HUMAN; MORTALITY; PROGNOSIS; STATISTICS; SURVIVAL;

EID: 77449133004     PISSN: 17560756     EISSN: 17560764     Source Type: Journal    
DOI: 10.1504/IJCBDD.2008.021422     Document Type: Article
Times cited : (22)

References (32)
  • 1
    • 18944391930 scopus 로고    scopus 로고
    • Microarrays and breast cancer clinical studies: forgetting what we have not yet learnt
    • Ahmed, A.A. and Brenton, J.D. (2005) ‘Microarrays and breast cancer clinical studies: forgetting what we have not yet learnt’, Breast Cancer Res., Vol. 7, No. 3, pp.96–99.
    • (2005) Breast Cancer Res. , vol.7 , Issue.3 , pp. 96-99
    • Ahmed, A.A.1    Brenton, J.D.2
  • 4
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996) ‘Bagging predictors’, Machine Learning, Vol. 24, No. 2, pp.123–140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 5
    • 28344454000 scopus 로고    scopus 로고
    • Molecular classification and molecular forecasting of breast cancer: ready for clinical application?
    • Brenton, J.D., Carey, L.A., Ahmed, A.A. and Caldas, C. (2005) ‘Molecular classification and molecular forecasting of breast cancer: ready for clinical application?’, J. Clin. Oncol, Vol. 23, No. 29, pp.7350–7360.
    • (2005) J. Clin. Oncol , vol.23 , Issue.29 , pp. 7350-7360
    • Brenton, J.D.1    Carey, L.A.2    Ahmed, A.A.3    Caldas, C.4
  • 8
    • 33646410663 scopus 로고    scopus 로고
    • Severe class imbalance: Why better algorithms aren’t the answer
    • Gama, J., Camacho, R., Brazdil, P.B., Jorge, A.M. and Torgo, L. (Eds.) LNCS (LNAI), Springer, Heidelberg
    • Drummond, C. and Holte, R.C. (2005) ‘Severe class imbalance: Why better algorithms aren’t the answer’, in Gama, J., Camacho, R., Brazdil, P.B., Jorge, A.M. and Torgo, L. (Eds.): ECML 2005, LNCS (LNAI), Vol. 3720, Springer, Heidelberg, pp.539–546.
    • (2005) ECML 2005 , vol.3720 , pp. 539-546
    • Drummond, C.1    Holte, R.C.2
  • 9
    • 3843116922 scopus 로고    scopus 로고
    • Good old clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers
    • Edén, P., Ritz, C., Rose, C., Fernö, M. and Peterson, C. (2004) ‘Good old clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers’, Eur. J. Cancer, Vol. 40, No. 12, pp.1837–1841.
    • (2004) Eur. J. Cancer , vol.40 , Issue.12 , pp. 1837-1841
    • Edén, P.1    Ritz, C.2    Rose, C.3    Fernö, M.4    Peterson, C.5
  • 10
    • 13444282534 scopus 로고    scopus 로고
    • Outcome signature genes in breast cancer: Is there a unique set?
    • Ein-Dor, L., Kela, I., Getz, G., Givol, D. and Domany, E. (2005) ‘Outcome signature genes in breast cancer: Is there a unique set?’, Bioinformatics, Vol. 21, No. 2, pp.171–178.
    • (2005) Bioinformatics , vol.21 , Issue.2 , pp. 171-178
    • Ein-Dor, L.1    Kela, I.2    Getz, G.3    Givol, D.4    Domany, E.5
  • 12
    • 0031211090 scopus 로고    scopus 로고
    • Decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y. and Schapire, R.E. (1997) ‘Decision-theoretic generalization of on-line learning and an application to boosting’, Journal of Computer and System Sciences, Vol. 55, No. 1, pp.119–139.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 13
    • 21244501361 scopus 로고    scopus 로고
    • A theoretical and experimental analysis of linear combiners for multiple classifier systems
    • Fumera, G. and Roli, F. (2005) ‘A theoretical and experimental analysis of linear combiners for multiple classifier systems’, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 6, pp.942–956.
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.6 , pp. 942-956
    • Fumera, G.1    Roli, F.2
  • 14
  • 17
    • 0034830461 scopus 로고    scopus 로고
    • Decision templates for multiple classifier fusion: an experimental comparison
    • Kuncheva, L.I., Bezdek, J.C. and Duin, R. (2001) ‘Decision templates for multiple classifier fusion: an experimental comparison’, Pattern Recognition, Vol. 34, No. 2, pp.299–314.
    • (2001) Pattern Recognition , vol.34 , Issue.2 , pp. 299-314
    • Kuncheva, L.I.1    Bezdek, J.C.2    Duin, R.3
  • 21
    • 33748611921 scopus 로고    scopus 로고
    • Ensemble based systems in decision making
    • Polikar, R. (2006) ‘Ensemble based systems in decision making’, IEEE Circuits and Systems Mag., Vol. 6, No. 3, pp.21–45.
    • (2006) IEEE Circuits and Systems Mag. , vol.6 , Issue.3 , pp. 21-45
    • Polikar, R.1
  • 23
    • 27144463192 scopus 로고    scopus 로고
    • On comparing classifiers: pitfalls to avoid and a recommended approach
    • Salzberg, S.L. (1997) ‘On comparing classifiers: pitfalls to avoid and a recommended approach’, Data Mining and Knowledge Discovery, Vol. 1, pp.317–327.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 317-327
    • Salzberg, S.L.1
  • 24
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • Schapire, R.E. (1990) ‘The strength of weak learnability’, Machine Learning, Vol. 5, No. 2, pp.197–227.
    • (1990) Machine Learning , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.E.1
  • 31
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert, D.H. (1992) ‘Stacked generalization’, Neural Networks, Vol. 5, pp.241–259.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.