Overall Survival Prediction for Women Breast Cancer Using Ensemble Methods and Incomplete Clinical Data

作者: Pedro Henriques Abreu , Hugo Amaro , Daniel Castro Silva , Penousal Machado , Miguel Henriques Abreu

DOI: 10.1007/978-3-319-00846-2_338

关键词:

摘要: Breast Cancer is the most common type of cancer in women worldwide. In spite this fact, there are insufficient studies that, using data mining techniques, capable helping medical doctors their daily practice.

参考文章(13)
B. Twala, M. Cartwright, M. Shepperd, Comparison of various methods for handling incomplete data in software engineering databases international symposium on empirical software engineering. pp. 105- 114 ,(2005) , 10.1109/ISESE.2005.1541819
Janez Demšar, Statistical Comparisons of Classifiers over Multiple Data Sets Journal of Machine Learning Research. ,vol. 7, pp. 1- 30 ,(2006)
Joseph A. Cruz, David S. Wishart, Applications of Machine Learning in Cancer Prediction and Prognosis Cancer Informatics. ,vol. 2, pp. 59- 77 ,(2006) , 10.1177/117693510600200030
C Williams, S Brunskill, D Altman, A Briggs, H Campbell, M Clarke, J Glanville, A Gray, A Harris, K Johnston, M Lodge, Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy. Health Technology Assessment. ,vol. 10, pp. 1- 222 ,(2006) , 10.3310/HTA10340
R. G. Dumitrescu, I. Cotarla, Understanding breast cancer risk -- where do we stand in 2005? Journal of Cellular and Molecular Medicine. ,vol. 9, pp. 208- 221 ,(2005) , 10.1111/J.1582-4934.2005.TB00350.X
A Soltani Sarvestani, AA Safavi, NM Parandeh, M Salehi, None, Predicting breast cancer survivability using data mining techniques international conference on software technology and engineering. ,vol. 2, ,(2010) , 10.1109/ICSTE.2010.5608818
Constanze Banz-Jansen, Alessa Heinrichs, Marianne Hedderich, Annika Waldmann, Berit Wedel, Imke Mebes, Klaus Diedrich, Achim Rody, Dorothea Fischer, 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. ,vol. 288, pp. 379- 383 ,(2013) , 10.1007/S00404-013-2738-7
Qi Fan, Chang-jie Zhu, Liu Yin, Predicting breast cancer recurrence using data mining techniques international conference on bioinformatics. pp. 310- 311 ,(2010) , 10.1109/ICBBT.2010.5478952
Dennis Slamon, Wolfgang Eiermann, Nicholas Robert, Tadeusz Pienkowski, Miguel Martin, Michael Press, John Mackey, John Glaspy, Arlene Chan, Marek Pawlicki, Tamas Pinter, Vicente Valero, Mei-Ching Liu, Guido Sauter, Gunter von Minckwitz, Frances Visco, Valerie Bee, Marc Buyse, Belguendouz Bendahmane, Isabelle Tabah-Fisch, Mary-Ann Lindsay, Alessandro Riva, John Crown, None, Adjuvant Trastuzumab in HER2-Positive Breast Cancer The New England Journal of Medicine. ,vol. 365, pp. 1273- 1283 ,(2011) , 10.1056/NEJMOA0910383
Xiaogang Ruan, Jinlian Wang, Hui Li, Xiaoming Li, A Method for Cancer Classification Using Ensemble Neural Networks with Gene Expression Profile international conference on bioinformatics and biomedical engineering. pp. 342- 346 ,(2008) , 10.1109/ICBBE.2008.87