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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2016
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| Materias: | |
| 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 |