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

The Support Vector Regression (SVR) model has been broadly used for response prediction. However, few researchers have used SVR for survival analysis. In this study, a new SVR model is proposed and SVR with different kernels and the traditional Cox model are trained. The models are compared based on...

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Detalles Bibliográficos
Autores principales: Goli, Shahrbanoo, Mahjub, Hossein, Faradmal, Javad, Mashayekhi, Hoda, Soltanian, Ali-Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108874/
https://www.ncbi.nlm.nih.gov/pubmed/27882074
http://dx.doi.org/10.1155/2016/2157984

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108874/
https://www.ncbi.nlm.nih.gov/pubmed/27882074
http://dx.doi.org/10.1155/2016/2157984

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