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Computational and Mathematical Methods in Medicine
Volume 2016, Article ID 2157984, 12 pages
http://dx.doi.org/10.1155/2016/2157984
Research Article

Survival Prediction and Feature Selection in Patients with Breast Cancer Using Support Vector Regression

1Department of Biostatistics and Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
2Research Center for Health Sciences, Department of Biostatistics and Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
3Modeling of Non-Communicable Diseases Research Center, Department of Biostatistics and Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
4Computer and IT Engineering Department, Shahrood University, Shahrood, Iran

Received 19 March 2016; Revised 1 August 2016; Accepted 5 September 2016

Academic Editor: Francesco Pappalardo

Copyright © 2016 Shahrbanoo Goli et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Shahrbanoo Goli, Hossein Mahjub, Javad Faradmal, Hoda Mashayekhi, and Ali-Reza Soltanian, “Survival Prediction and Feature Selection in Patients with Breast Cancer Using Support Vector Regression,” Computational and Mathematical Methods in Medicine, vol. 2016, Article ID 2157984, 12 pages, 2016. https://doi.org/10.1155/2016/2157984.