메뉴 건너뛰기




Volumn , Issue , 2007, Pages 103-108

An artificial neural network for analysing the survival of patients with colorectal cancer

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL RESOURCES; COLORECTAL CANCER; MEDICAL RESEARCHERS; PARTIAL LIKELIHOODS; SCOTLAND;

EID: 84886994971     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (19)
  • 1
    • 8444224448 scopus 로고    scopus 로고
    • Neural Computation in Medicine: Perspectives and Prospectives
    • H. Malgren, M Borga, L Niklasson, editors, Goteborg, 13-6 May 2000, Springer Verlag
    • R. Dybkowski, Neural Computation in Medicine: Perspectives and Prospectives. In H. Malgren, M Borga, L Niklasson, editors, proceedings of the ANNIMAB-1 Conference (Artificial Neural Networks in Medicine and Biology), Goteborg, 13-6 May 2000, Springer Verlag, pp. 26-36, 2000.
    • (2000) Proceedings of the ANNIMAB-1 Conference (Artificial Neural Networks In Medicine and Biology) , pp. 26-36
    • Dybkowski, R.1
  • 2
    • 0036127092 scopus 로고    scopus 로고
    • A review of evidence of health benefit from artificial neural networks in medical intervention
    • P. J. G. Lisboa, A review of evidence of health benefit from artificial neural networks in medical intervention. Neural Networks, 15 (1): 9-37, 2002.
    • (2002) Neural Networks , vol.15 , Issue.1 , pp. 9-37
    • Lisboa, P.J.G.1
  • 3
    • 0028788276 scopus 로고
    • Application of artificial neural networks to clinical medicine
    • W. G. Baxt, Application of artificial neural networks to clinical medicine. Lancet, 346:1135-38, 1995.
    • (1995) Lancet , vol.346 , pp. 1135-1138
    • Baxt, W.G.1
  • 4
    • 0030756045 scopus 로고    scopus 로고
    • Artificial neural networks in cancer research
    • R. N. Naguib and G. V. Sherb et al. Artificial neural networks in cancer research. Pathobiology, 65(3):129-139, 1997
    • (1997) Pathobiology , vol.65 , Issue.3 , pp. 129-139
    • Naguib, R.N.1    Sherb, G.V.2
  • 5
    • 0031921607 scopus 로고    scopus 로고
    • Feed forward neural networks for the analysis of censored survival data: A partial logistic regression approach
    • E. Biganzoli, P. Boracchi, L. Mariani, et al. Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach. Stat Med, 17:1169-86, 1998.
    • (1998) Stat Med , vol.17 , pp. 1169-1186
    • Biganzoli, E.1    Boracchi, P.2    Mariani, L.3
  • 6
    • 0000478224 scopus 로고
    • Exploiting Prior Knowledge In Network Optimization: An Illustration From Medical Prognosis
    • D. Lowe and A. R. Webb, Exploiting prior knowledge in network optimization: an illustration from medical prognosis. Network,1:299-323, 1990.
    • (1990) Network , vol.1 , pp. 299-323
    • Lowe, D.1    Webb, A.R.2
  • 7
    • 0343090468 scopus 로고    scopus 로고
    • Bias reduction in skewed binary classification with Bayesian neural networks
    • P. J. G. Lisboa, A Vellido and H. Wong, Bias reduction in skewed binary classification with Bayesian neural networks, Neural Networks, 13:407-410, 2000.
    • (2000) Neural Networks , vol.13 , pp. 407-410
    • Lisboa, P.J.G.1    Vellido, A.2    Wong, H.3
  • 9
    • 0038162240 scopus 로고    scopus 로고
    • A Bayesian neural network approach for modeling censored data with an application to prognosis after surgery for breast cancer
    • P. J. G. Lisboa, H. Wong, P. Harris, R. Swindell, A Bayesian neural network approach for modeling censored data with an application to prognosis after surgery for breast cancer. Artificial Intelligence in Medicine, 28:1-25, 2003.
    • (2003) Artificial Intelligence In Medicine , vol.28 , pp. 1-25
    • Lisboa, P.J.G.1    Wong, H.2    Harris, P.3    Swindell, R.4
  • 10
    • 0011827330 scopus 로고    scopus 로고
    • Neural networks as statistical methods in survival analysis
    • R. Dybowski and V. Gant, Editors, Landes Biosciences Publishers
    • B. D. Ripley and R. M. Ripley, Neural networks as statistical methods in survival analysis. In R. Dybowski and V. Gant, editors, Artificial Neural Networks: Prospects for Medicine, Landes Biosciences Publishers, 1998.
    • (1998) Artificial Neural Networks: Prospects For Medicine
    • Ripley, B.D.1    Ripley, R.M.2
  • 11
    • 0027205884 scopus 로고
    • A Scaled conjugate gradient algorithm for fast supervised learning
    • M. Mφller
    • M. Mφller, A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks, 6(4):525-33, 1993.
    • (1993) Neural Networks , vol.6 , Issue.4 , pp. 525-533
    • Mφller, A.1
  • 12
    • 84886995274 scopus 로고    scopus 로고
    • On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology
    • University of Freiburg
    • G. Schwarzer, W. Vach, W. M. Schumacher, On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology. Tech. rep., Center for Data Analysis and Model Building, University of Freiburg, 1997.
    • (1997) Tech. Rep., Center For Data Analysis and Model Building
    • Schwarzer, G.1    Vach, W.2    Schumacher, W.M.3
  • 13
    • 0030211964 scopus 로고    scopus 로고
    • Bagging Predictors
    • L. Breiman, Bagging Predictors, Machine Learning, 24:123-140, 1996.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 14
    • 84972539015 scopus 로고
    • Neural networks: A review from a statistical perspective
    • B. Cheng and D. M. Titterington, Neural networks: A review from a statistical perspective. Statistical Science, 9:2-54, 1994.
    • (1994) Statistical Science , vol.9 , pp. 2-54
    • Cheng, B.1    Titterington, D.M.2
  • 16
    • 84898947879 scopus 로고    scopus 로고
    • Practical confidence and prediction intervals
    • in M. Mozer, M. Jordan & T. Petch, eds, 9, MIT Press, Cambridge, MA
    • G. E. Heskes, Practical confidence and prediction intervals, in M. Mozer, M. Jordan & T. Petch, eds, Advances in Neural Information Processing Systems, 9, MIT Press, Cambridge, MA, pp. 176-182, 1997.
    • (1997) Advances In Neural Information Processing Systems , pp. 176-182
    • Heskes, G.E.1
  • 18
    • 8644262601 scopus 로고    scopus 로고
    • Confidence intervals and prediction intervals for feed-forward neural networks
    • In R. Dybowski, V. Gant editors, Cambridge: Cambridge University Press
    • R. Dybowski, S. Roberts, Confidence intervals and prediction intervals for feed-forward neural networks. In R. Dybowski, V. Gant editors, Clinical Applications of Artificial Neural Networks. Cambridge: Cambridge University Press, pp. 298-326, 2001.
    • (2001) Clinical Applications of Artificial Neural Networks , pp. 298-326
    • Dybowski, R.1    Roberts, S.2
  • 19


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.