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2013 | 35 | 1 | 27-38
Article title

Dipolar Tree Ensemble With and Without Adjustment to Competing Risks: Application to Medical Data

Title variants
Languages of publication
EN
Abstracts
EN
The analysis of survival data often aims at the prediction of failure time distribution. In cases of competing risk events, the time distributions of more than one failure are under investigation. In this paper, the comparison of two approaches to analyzing survival data with competing risks is presented. The analyses are performed by use of an ensemble of dipolar trees with and without adjustment to competing risks.
Keywords
Publisher
Year
Volume
35
Issue
1
Pages
27-38
Physical description
Dates
published
2013-12-01
online
2013-12-31
Contributors
  • Faculty of Computer Science, Bialystok University of Technology, Poland
References
  • Bobrowski, L., Kretowska, M., & Kretowski, M. (1997). Design of neural classifying networks by using dipolar criterions. In proceedings of the Third Conference on Neural Networks and Their Applications, 14-18 October 1997 (pp. 689-694). Kule, Poland.
  • Fyles, A. W., McCready, D. R., Manchul, L. A., Trudeau, M. E., Merante, P., Pintilie, M.,Weir, L. M., & Olivotto, I. A. (2004). Tamoxifen with or without breast irradiation in women 50 years of age or older with early breast cancer. New England Journal of Medicine, 351, 963-970.
  • Ibrahim, N. A., Kudus, A., Daud, I., & Abu Bakar, M. R. (2008). Decision tree for competing risks survival probability in breast cancer study. World Academyof Science, Engineering and Technology, 38, 15-19.
  • Kalbfleisch, J. D., & Prentice, R. L. (1980). The statistical analysis of failure timedata. New York: John Wiley & Sons Ltd.
  • Kretowska, M. (2006). Random forest of dipolar trees for survival prediction. In L. Rutkowski, R. Tadeusiewicz, L. A. Zadeh, & J. M. Zurada (Eds.), ICAISC 2006, LNCS (LNAI) 4029, 909-918.
  • Kretowska,M. (2012). Competing Risks and Survival Tree Ensemble, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh, & J. M. Zurada (Eds.), ICAISC 2012, Part I, LNCS 7267, 387-393.
  • Marubini, E., & Valsecci, M. G. (1995). Analysing survival data from clinical trialsand observational studies. England: John Wiley & Sons Ltd.
  • Pintilie, M. (2006). Competing Risks: A Practical Perspective. England: JohnWiley & Sons Ltd.
  • Putter, H., Fiocco, M., & Geskus, R. B. (2007). Tutorial in biostatistics: Competing risks and multi-stage models. Statistics in Medicine, 26, 2389-2430.[WoS]
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.doi-10_2478_slgr-2013-0038
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