These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

95 related articles for article (PubMed ID: 20453293)

  • 1. Non-invasive classification of severe sepsis and systemic inflammatory response syndrome using a nonlinear support vector machine: a preliminary study.
    Tang CH; Middleton PM; Savkin AV; Chan GS; Bishop S; Lovell NH
    Physiol Meas; 2010 Jun; 31(6):775-93. PubMed ID: 20453293
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The application of mutual information-based feature selection and fuzzy LS-SVM-based classifier in motion classification.
    Yan Z; Wang Z; Xie H
    Comput Methods Programs Biomed; 2008 Jun; 90(3):275-84. PubMed ID: 18295367
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Support vector machines and other pattern recognition approaches to the diagnosis of cerebral palsy gait.
    Kamruzzaman J; Begg RK
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2479-90. PubMed ID: 17153205
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification of electrocardiogram signals with support vector machines and particle swarm optimization.
    Melgani F; Bazi Y
    IEEE Trans Inf Technol Biomed; 2008 Sep; 12(5):667-77. PubMed ID: 18779082
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.
    Asl BM; Setarehdan SK; Mohebbi M
    Artif Intell Med; 2008 Sep; 44(1):51-64. PubMed ID: 18585905
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Markerless gating for lung cancer radiotherapy based on machine learning techniques.
    Lin T; Li R; Tang X; Dy JG; Jiang SB
    Phys Med Biol; 2009 Mar; 54(6):1555-63. PubMed ID: 19229098
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Application of support vector machines to classification of blood cells].
    Wang H; Zheng C; Li Y; Zhu H; Yan X
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2003 Sep; 20(3):484-7. PubMed ID: 14565019
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Mid-regional pro-adrenomedullin as a prognostic marker in sepsis: an observational study.
    Christ-Crain M; Morgenthaler NG; Struck J; Harbarth S; Bergmann A; Müller B
    Crit Care; 2005; 9(6):R816-24. PubMed ID: 16356231
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods.
    Cho BH; Yu H; Kim KW; Kim TH; Kim IY; Kim SI
    Artif Intell Med; 2008 Jan; 42(1):37-53. PubMed ID: 17997291
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of colonic tissues using near-infrared Raman spectroscopy and support vector machines.
    Widjaja E; Zheng W; Huang Z
    Int J Oncol; 2008 Mar; 32(3):653-62. PubMed ID: 18292943
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting variations of perceptual performance across individuals from neural activity using pattern classifiers.
    Das K; Giesbrecht B; Eckstein MP
    Neuroimage; 2010 Jul; 51(4):1425-37. PubMed ID: 20302949
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Feature extraction via KPCA for classification of gait patterns.
    Wu J; Wang J; Liu L
    Hum Mov Sci; 2007 Jun; 26(3):393-411. PubMed ID: 17509708
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Classification of faces in man and machine.
    Graf AB; Wichmann FA; Bülthoff HH; Schölkopf B
    Neural Comput; 2006 Jan; 18(1):143-65. PubMed ID: 16354384
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Support vector machine-based classification scheme for myoelectric control applied to upper limb.
    Oskoei MA; Hu H
    IEEE Trans Biomed Eng; 2008 Aug; 55(8):1956-65. PubMed ID: 18632358
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel kernel-based maximum a posteriori classification method.
    Xu Z; Huang K; Zhu J; King I; Lyu MR
    Neural Netw; 2009 Sep; 22(7):977-87. PubMed ID: 19167865
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room.
    Jaimes F; Farbiarz J; Alvarez D; Martínez C
    Crit Care; 2005 Apr; 9(2):R150-6. PubMed ID: 15774048
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improving gene expression cancer molecular pattern discovery using nonnegative principal component analysis.
    Han X
    Genome Inform; 2008; 21():200-11. PubMed ID: 19425159
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic classification of athletes with residual functional deficits following concussion by means of EEG signal using support vector machine.
    Cao C; Tutwiler RL; Slobounov S
    IEEE Trans Neural Syst Rehabil Eng; 2008 Aug; 16(4):327-35. PubMed ID: 18701381
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The association of sepsis syndrome and organ dysfunction with mortality in emergency department patients with suspected infection.
    Shapiro N; Howell MD; Bates DW; Angus DC; Ngo L; Talmor D
    Ann Emerg Med; 2006 Nov; 48(5):583-90, 590.e1. PubMed ID: 17052559
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.