An Improved Training Algorithm Based on Ensemble Penalized Cox Regression for Predicting Absolute Cancer Risk-Reference-Cited by-同舟云学术

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An Improved Training Algorithm Based on Ensemble Penalized Cox Regression for Predicting Absolute Cancer Risk

Published:2023 Issue:9 Volume:5 Page:206-212
ISSN:2096-7071
Container-title:China CDC Weekly
language:en
Short-container-title:

Author:

Liu Liyuan, ,Yang Fu,Fan Yeye,Kao Chunyu,Wang Fei,Yu Lixiang,He Yong,Ji Jiadong,Yu Zhigang, , ,

Publisher

Chinese Center for Disease Control and Prevention

Subject

Public Health, Environmental and Occupational Health,Infectious Diseases,Epidemiology

Link

https://weekly.chinacdc.cn/en/article/pdf/preview/10.46234/ccdcw2023.037

Reference15 articles.

1. Maloof MA. Learning when data sets are imbalanced and when costs are unequal and unknown. In: ICML-2003 workshop on learning from imbalanced data sets II. Washington: ICLM. 2003. https://www.site.uottawa.ca/~nat/Workshop2003/maloof-icml03-wids.pdf.

2. Breiman L. Bagging predictors. Mach Learn 1996;24(2):123-40. http://dx.doi.org/10.1023/A:1018054314350.

3. Liang G, Zhang C. Empirical study of bagging predictors on medical data. In: Conferences in research and practice in information technology series. Ballarat, Australia: OPUS. 2010; p. 31-400 https://opus.lib.uts.edu.au/handle/10453/19124.

4. Dudoit S, Fridlyand J. Bagging to improve the accuracy of a clustering procedure. Bioinformatics 2003;19(9):1090-9. http://dx.doi.org/10.1093/bioinformatics/btg038.

5. Cox DR. Regression models and life-tables. J Roy Stat Soc B Methodol 1972;34(2):187-220. http://dx.doi.org/10.1111/j.2517-6161.1972.tb00899.x.

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