249 related articles for article (PubMed ID: 21821401)
1. Support vector methods for survival analysis: a comparison between ranking and regression approaches.
Van Belle V; Pelckmans K; Van Huffel S; Suykens JA
Artif Intell Med; 2011 Oct; 53(2):107-18. PubMed ID: 21821401
[TBL] [Abstract][Full Text] [Related]
2. Additive survival least-squares support vector machines.
Van Belle V; Pelckmans K; Suykens JA; Van Huffel S
Stat Med; 2010 Jan; 29(2):296-308. PubMed ID: 20024943
[TBL] [Abstract][Full Text] [Related]
3. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
4. A machine learning-based approach to prognostic analysis of thoracic transplantations.
Delen D; Oztekin A; Kong ZJ
Artif Intell Med; 2010 May; 49(1):33-42. PubMed ID: 20153956
[TBL] [Abstract][Full Text] [Related]
5. Impact of censoring on learning Bayesian networks in survival modelling.
Stajduhar I; Dalbelo-Basić B; Bogunović N
Artif Intell Med; 2009 Nov; 47(3):199-217. PubMed ID: 19833488
[TBL] [Abstract][Full Text] [Related]
6. TSVR: an efficient Twin Support Vector Machine for regression.
Peng X
Neural Netw; 2010 Apr; 23(3):365-72. PubMed ID: 19616409
[TBL] [Abstract][Full Text] [Related]
7. Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data.
Gui J; Li H
Bioinformatics; 2005 Jul; 21(13):3001-8. PubMed ID: 15814556
[TBL] [Abstract][Full Text] [Related]
8. Predicting the graft survival for heart-lung transplantation patients: an integrated data mining methodology.
Oztekin A; Delen D; Kong ZJ
Int J Med Inform; 2009 Dec; 78(12):e84-96. PubMed ID: 19497782
[TBL] [Abstract][Full Text] [Related]
9. An empirical approach to model selection through validation for censored survival data.
Choi I; Wells BJ; Yu C; Kattan MW
J Biomed Inform; 2011 Aug; 44(4):595-606. PubMed ID: 21335102
[TBL] [Abstract][Full Text] [Related]
10. Sparse kernel methods for high-dimensional survival data.
Evers L; Messow CM
Bioinformatics; 2008 Jul; 24(14):1632-8. PubMed ID: 18515276
[TBL] [Abstract][Full Text] [Related]
11. Training artificial neural networks directly on the concordance index for censored data using genetic algorithms.
Kalderstam J; Edén P; Bendahl PO; Strand C; Fernö M; Ohlsson M
Artif Intell Med; 2013 Jun; 58(2):125-32. PubMed ID: 23582884
[TBL] [Abstract][Full Text] [Related]
12. Ranking chemical structures for drug discovery: a new machine learning approach.
Agarwal S; Dugar D; Sengupta S
J Chem Inf Model; 2010 May; 50(5):716-31. PubMed ID: 20387860
[TBL] [Abstract][Full Text] [Related]
13. Kernel Cox regression models for linking gene expression profiles to censored survival data.
Li H; Luan Y
Pac Symp Biocomput; 2003; ():65-76. PubMed ID: 12603018
[TBL] [Abstract][Full Text] [Related]
14. Support vector machine regression (SVR/LS-SVM)--an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data.
Balabin RM; Lomakina EI
Analyst; 2011 Apr; 136(8):1703-12. PubMed ID: 21350755
[TBL] [Abstract][Full Text] [Related]
15. Prognostic variables and prognostic groups for malignant melanoma. The information from Cox and Classification And Regression Trees analysis: an Italian population-based study.
Crocetti E; Mangone L; Lo Scocco G; Carli P
Melanoma Res; 2006 Oct; 16(5):429-33. PubMed ID: 17013092
[TBL] [Abstract][Full Text] [Related]
16. Support vector machines for dyadic data.
Hochreiter S; Obermayer K
Neural Comput; 2006 Jun; 18(6):1472-510. PubMed ID: 16764511
[TBL] [Abstract][Full Text] [Related]
17. Cox survival analysis of microarray gene expression data using correlation principal component regression.
Zhao Q; Sun J
Stat Appl Genet Mol Biol; 2007; 6():Article16. PubMed ID: 17542778
[TBL] [Abstract][Full Text] [Related]
18. Cancer survival classification using integrated data sets and intermediate information.
Kim S; Park T; Kon M
Artif Intell Med; 2014 Sep; 62(1):23-31. PubMed ID: 24997860
[TBL] [Abstract][Full Text] [Related]
19. Application of support vector machine-based ranking strategies to search for target-selective compounds.
Wassermann AM; Geppert H; Bajorath J
Methods Mol Biol; 2011; 672():517-30. PubMed ID: 20838983
[TBL] [Abstract][Full Text] [Related]
20. Bayesian ranking of sites for engineering safety improvements: decision parameter, treatability concept, statistical criterion, and spatial dependence.
Miaou SP; Song JJ
Accid Anal Prev; 2005 Jul; 37(4):699-720. PubMed ID: 15949462
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]