Cargando…
SVM and SVM Ensembles in Breast Cancer Prediction
Breast cancer is an all too common disease in women, making how to effectively predict it an active research problem. A number of statistical and machine learning techniques have been employed to develop various breast cancer prediction models. Among them, support vector machines (SVM) have been sho...
Autores principales: | Huang, Min-Wei, Chen, Chih-Wen, Lin, Wei-Chao, Ke, Shih-Wen, Tsai, Chih-Fong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217832/ https://www.ncbi.nlm.nih.gov/pubmed/28060807 http://dx.doi.org/10.1371/journal.pone.0161501 |
Ejemplares similares
-
MiRenSVM: towards better prediction of microRNA precursors using an ensemble SVM classifier with multi-loop features
por: Ding, Jiandong, et al.
Publicado: (2010) -
Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction
por: Hamid, Tengku Mazlin Tengku Ab, et al.
Publicado: (2023) -
SVM clustering
por: Winters-Hilt, Stephen, et al.
Publicado: (2007) -
Hadamard Kernel SVM with applications for breast cancer outcome predictions
por: Jiang, Hao, et al.
Publicado: (2017) -
svmPRAT: SVM-based Protein Residue Annotation Toolkit
por: Rangwala, Huzefa, et al.
Publicado: (2009)