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Volumn 1620, Issue , 1999, Pages 346-355

Machine learning for survival analysis: A case study on recurrence of prostate cancer

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; MACHINE LEARNING; UROLOGY;

EID: 84855619327     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48720-4_37     Document Type: Conference Paper
Times cited : (11)

References (13)
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    • (1998) Statis Med
    • Biganzoli, E.1    Boracchi, P.2    Mariani, L.3
  • 3
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    • Regression models and life-tables
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    • Cox, D.R.1
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    • Applying a neural network to prostate cancer survival data
    • In N. Lavrač, E. Keravnou, and B. Zupan, editors, Kluwer, Boston
    • M. W. Kattan, H. Ishida, P. T. Scardino, and J. R. Beck. Applying a neural network to prostate cancer survival data. In N. Lavrač, E. Keravnou, and B. Zupan, editors, Intelligent data analysis in medicine and pharmacology, pages 295-306. Kluwer, Boston, 1997.
    • (1997) Intelligent Data Analysis in Medicine and Pharmacology , pp. 295-306
    • Kattan, M.W.1    Ishida, H.2    Scardino, P.T.3    Beck, J.R.4
  • 6
    • 0018179241 scopus 로고
    • A practical device for the application of a diagnostic or prognostic function
    • J. Lubsen, J. Pool, and E. van der Does. A practical device for the application of a diagnostic or prognostic function. Methods of Information in Medicine, 17:127-129, 1978.
    • (1978) Methods of Information in Medicine , vol.17 , pp. 127-129
    • Lubsen, J.1    Pool, J.2    Van Der Does, E.3
  • 8
    • 0005801045 scopus 로고    scopus 로고
    • Learning decision rules in noisy domains
    • Cambridge University Press, 1986, (Proc. EWSL 1986, Brighton)
    • T. Niblett and I. Bratko. Learning decision rules in noisy domains. In Expert Systems 86, pages 15-18. Cambridge University Press, 1986. (Proc. EWSL 1986, Brighton).
    • Expert Systems 86 , pp. 15-18
    • Niblett, T.1    Bratko, I.2
  • 9
    • 0028304724 scopus 로고    scopus 로고
    • The new american joint committee on cancer and international union against cancer tnm classification of prostate cancer: Clinicopathologic correlations
    • M. Ohori, T. M. Wheeler, and P. T. Scardino. The new american joint committee on cancer and international union against cancer tnm classification of prostate cancer: Clinicopathologic correlations. Cancer, 74:104-114, 94.
    • Cancer , vol.74 , pp. 104-114
    • Ohori, M.1    Wheeler, T.M.2    Scardino, P.T.3
  • 10
    • 33744584654 scopus 로고
    • Induction of decision trees
    • R. Quinlan. Induction of decision trees. Machine Learning, 1(1):81-106, 1986.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, R.1
  • 11
    • 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
  • 12
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    • Martingale-based residuals for survival models
    • T. M. Therneau, P. M. Grambsch, and T. R. Fleming. Martingale-based residuals for survival models. Biometrika, 77(1):147-160, 1990.
    • (1990) Biometrika , vol.77 , Issue.1 , pp. 147-160
    • Therneau, T.M.1    Grambsch, P.M.2    Fleming, T.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.