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Volumn 41, Issue , 2014, Pages 1366-1369

Overall survival prediction for women breast cancer using ensemble methods and incomplete clinical data

Author keywords

Classification; Ensemble methods; Overall survival prediction; Women breast cancer dataset

Indexed keywords

BIOCHEMICAL ENGINEERING; CLASSIFICATION (OF INFORMATION); FORECASTING; FORESTRY; MEDICAL COMPUTING;

EID: 84891294658     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-319-00846-2_338     Document Type: Conference Paper
Times cited : (21)

References (20)
  • 2
    • 84880846898 scopus 로고    scopus 로고
    • Are there changes in characteristics and therapy of young patients with early-onset breast cancer in Germany over the last decade?
    • Banz-Jansen C, Heinrichs A, Hedderich M, et al. Are there changes in characteristics and therapy of young patients with early-onset breast cancer in Germany over the last decade? Archives of Gynecology and Obstetrics. 2013:1-5.
    • (2013) Archives of Gynecology and Obstetrics , pp. 1-5
    • Banz-Jansen, C.1    Heinrichs, A.2    Hedderich, M.3
  • 4
    • 36549030796 scopus 로고    scopus 로고
    • Use of 70-gene signature to predict prognosis of patients with node-negative breast cancer: A prospective community-based feasibility study (RASTER)
    • Mesquita JM, Bueno, Harten WH, Retel VP, et al. Use of 70-gene signature to predict prognosis of patients with node-negative breast cancer: a prospective community-based feasibility study (RASTER) Lancet Oncology. 2007;8:1079-87.
    • (2007) Lancet Oncology , vol.8 , pp. 1079-1087
    • Mesquita, J.M.1    Bueno2    Harten, W.H.3    Retel, V.P.4
  • 5
    • 67650410053 scopus 로고    scopus 로고
    • MammaPrint 70-gene signature: Another milestone in personalized medical care for breast cancer patients
    • Slodkowska EA, Ross JS. MammaPrint 70-gene signature: another milestone in personalized medical care for breast cancer patients J. of Expert Review of Molecular Diagnostics. 2009;9:417-422.
    • (2009) J. of Expert Review of Molecular Diagnostics , vol.9 , pp. 417-422
    • Slodkowska, E.A.1    Ross, J.S.2
  • 6
    • 33750534179 scopus 로고    scopus 로고
    • Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy
    • Williams C, Brunskill S, Altman D, et al. Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy J. of Health Technology Assessment. 2006;10:1-204.
    • (2006) J. of Health Technology Assessment , vol.10 , pp. 1-204
    • Williams, C.1    Brunskill, S.2    Altman, D.3
  • 7
    • 33744961676 scopus 로고    scopus 로고
    • Applications of Machine Learning in Cancer Prediction and Prognosis
    • Cruz J A, Wishart D S. Applications of Machine Learning in Cancer Prediction and Prognosis J. of Clinical Informatics. 2017;2:59-77.
    • J. of Clinical Informatics , vol.2 , pp. 59-77
    • Cruz, J.A.1    Wishart, D.S.2
  • 9
    • 50949109585 scopus 로고    scopus 로고
    • A Method for Cancer Classification Using Ensemble Neural Networks with Gene Expression Profile in
    • X Ruan J Wang, Li H, Li Xiaoming. A Method for Cancer Classification Using Ensemble Neural Networks with Gene Expression Profile in Conference on Bioinformatics and Biomedical Eng.:342-346 2010.
    • (2010) Conference On Bioinformatics and Biomedical Eng , pp. 342-346
    • Ruan, J.1    Wang, X.2    Li, H.3    Li, X.4
  • 17
  • 18
    • 77950369345 scopus 로고    scopus 로고
    • Data clustering: 50 years beyond K-means
    • Jain A. Data clustering: 50 years beyond K-means Pattern Recognition Letters. 2010;31:651-666.
    • (2010) Pattern Recognition Letters , vol.31 , pp. 651-666
    • Jain, A.1
  • 20
    • 29644438050 scopus 로고    scopus 로고
    • Statistical Comparisons of Classifiers over Multiple Data Sets
    • Dem̌sar J. Statistical Comparisons of Classifiers over Multiple Data Sets J. of Machine Learning Research. 2006;7:1-30.
    • (2006) J. of Machine Learning Research , vol.7 , pp. 1-30
    • Dem̌sar, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.