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 *

120 related articles for article (PubMed ID: 9357616)

  • 21. A clustering method based on rough sets and its application to knowledge discovery in the medical database.
    Hirano S; Tsumoto S; Okuzaki T; Hata Y
    Stud Health Technol Inform; 2001; 84(Pt 1):206-10. PubMed ID: 11604734
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Improving prediction of preterm birth using a new classification scheme and rule induction.
    Grzymala-Busse JW; Woolery LK
    Proc Annu Symp Comput Appl Med Care; 1994; ():730-4. PubMed ID: 7950021
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Probabilistic inference-based classification applied to myoelectric signal decomposition.
    Stashuk DW; Naphan RK
    IEEE Trans Biomed Eng; 1992 Apr; 39(4):346-55. PubMed ID: 1592400
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Fuzzy-rough supervised attribute clustering algorithm and classification of microarray data.
    Maji P
    IEEE Trans Syst Man Cybern B Cybern; 2011 Feb; 41(1):222-33. PubMed ID: 20542768
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Multi-objective evolutionary algorithms for fuzzy classification in survival prediction.
    Jiménez F; Sánchez G; Juárez JM
    Artif Intell Med; 2014 Mar; 60(3):197-219. PubMed ID: 24525210
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A program for machine learning of counting criteria: empirical induction of logic-based classification rules.
    Spackman KA
    Comput Methods Programs Biomed; 1985 Dec; 21(3):221-6. PubMed ID: 3853974
    [TBL] [Abstract][Full Text] [Related]  

  • 27. An incremental neural network with a reduced architecture.
    Ciarelli PM; Oliveira E; Salles EO
    Neural Netw; 2012 Nov; 35():70-81. PubMed ID: 22954480
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Optimal classifier fusion in a non-bayesian probabilistic framework.
    Terrades OR; Valveny E; Tabbone S
    IEEE Trans Pattern Anal Mach Intell; 2009 Sep; 31(9):1630-44. PubMed ID: 19574623
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A granular computing approach to gene selection.
    Sun L; Xu J
    Biomed Mater Eng; 2014; 24(1):1307-14. PubMed ID: 24212026
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Designing boosting ensemble of relational fuzzy systems.
    Scherer R
    Int J Neural Syst; 2010 Oct; 20(5):381-8. PubMed ID: 20945517
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Rough set based rule induction in decision making using credible classification and preference from medical application perspective.
    Tseng TL; Huang CC; Fraser K; Ting HW
    Comput Methods Programs Biomed; 2016 Apr; 127():273-89. PubMed ID: 26810236
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Perspectives on Knowledge Discovery Algorithms Recently Introduced in Chemoinformatics: Rough Set Theory, Association Rule Mining, Emerging Patterns, and Formal Concept Analysis.
    Gardiner EJ; Gillet VJ
    J Chem Inf Model; 2015 Sep; 55(9):1781-803. PubMed ID: 26237649
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Performance and efficiency of memetic Pittsburgh learning classifier systems.
    Bacardit J; Krasnogor N
    Evol Comput; 2009; 17(3):307-42. PubMed ID: 19708771
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Induction of multiple criteria optimal classification rules for biological and medical data.
    Li HL; Chen MH
    Comput Biol Med; 2008 Jan; 38(1):42-52. PubMed ID: 17869236
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A novel approach for incremental uncertainty rule generation from databases with missing values handling: application to dynamic medical databases.
    Konias S; Chouvarda I; Vlahavas I; Maglaveras N
    Med Inform Internet Med; 2005 Sep; 30(3):211-25. PubMed ID: 16403710
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Fuzzy rough sets, and a granular neural network for unsupervised feature selection.
    Ganivada A; Ray SS; Pal SK
    Neural Netw; 2013 Dec; 48():91-108. PubMed ID: 23994187
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Using variable precision rough set for selection and classification of biological knowledge integrated in DNA gene expression.
    Calvo-Dmgz D; Gálvez JF; Glez-Peña D; Gómez-Meire S; Fdez-Riverola F
    J Integr Bioinform; 2012 Jul; 9(3):199. PubMed ID: 22829570
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Sensitivity-based adaptive learning rules for binary feedforward neural networks.
    Zhong S; Zeng X; Wu S; Han L
    IEEE Trans Neural Netw Learn Syst; 2012 Mar; 23(3):480-91. PubMed ID: 24808553
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A hybrid approach to determining modification of clinical diagnoses.
    Pakhomov S; Chute CG
    AMIA Annu Symp Proc; 2006; 2006():609-13. PubMed ID: 17238413
    [TBL] [Abstract][Full Text] [Related]  

  • 40. CARSVM: a class association rule-based classification framework and its application to gene expression data.
    Kianmehr K; Alhajj R
    Artif Intell Med; 2008 Sep; 44(1):7-25. PubMed ID: 18586476
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.