BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

360 related articles for article (PubMed ID: 25821508)

  • 1. Knowledge mining from clinical datasets using rough sets and backpropagation neural network.
    Nahato KB; Harichandran KN; Arputharaj K
    Comput Math Methods Med; 2015; 2015():460189. PubMed ID: 25821508
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Correlation-Based Ensemble Feature Selection Using Bioinspired Algorithms and Classification Using Backpropagation Neural Network.
    Elgin Christo VR; Khanna Nehemiah H; Minu B; Kannan A
    Comput Math Methods Med; 2019; 2019():7398307. PubMed ID: 31662787
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner.
    Murugesan S; Bhuvaneswaran RS; Khanna Nehemiah H; Keerthana Sankari S; Nancy Jane Y
    Comput Math Methods Med; 2021; 2021():6662420. PubMed ID: 34055041
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Evolutionary and Neural Computing Based Decision Support System for Disease Diagnosis from Clinical Data Sets in Medical Practice.
    Sudha M
    J Med Syst; 2017 Sep; 41(11):178. PubMed ID: 28956226
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Temporal Mining Framework for Classifying Un-Evenly Spaced Clinical Data: An Approach for Building Effective Clinical Decision-Making System.
    Jane NY; Nehemiah KH; Arputharaj K
    Appl Clin Inform; 2016; 7(1):1-21. PubMed ID: 27081403
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Patient classification and outcome prediction in IgA nephropathy.
    Diciolla M; Binetti G; Di Noia T; Pesce F; Schena FP; Vågane AM; Bjørneklett R; Suzuki H; Tomino Y; Naso D
    Comput Biol Med; 2015 Nov; 66():278-86. PubMed ID: 26453758
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Combining a gravitational search algorithm, particle swarm optimization, and fuzzy rules to improve the classification performance of a feed-forward neural network.
    Huang ML; Chou YC
    Comput Methods Programs Biomed; 2019 Oct; 180():105016. PubMed ID: 31442736
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A predictive method for hepatitis disease diagnosis using ensembles of neuro-fuzzy technique.
    Nilashi M; Ahmadi H; Shahmoradi L; Ibrahim O; Akbari E
    J Infect Public Health; 2019; 12(1):13-20. PubMed ID: 30293875
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A hybrid approach to medical decision support systems: combining feature selection, fuzzy weighted pre-processing and AIRS.
    Polat K; Güneş S
    Comput Methods Programs Biomed; 2007 Nov; 88(2):164-74. PubMed ID: 17884235
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Fuzzy DEA-based classifier and its applications in healthcare management.
    Ji AB; Qiao Y; Liu C
    Health Care Manag Sci; 2019 Sep; 22(3):560-568. PubMed ID: 30847730
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On mining incomplete medical datasets: Ordering imputation and classification.
    Chen CW; Lin WC; Ke SW; Tsai CF; Hu YH
    Technol Health Care; 2015; 23(5):619-25. PubMed ID: 26410122
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Clustering-based undersampling with random over sampling examples and support vector machine for imbalanced classification of breast cancer diagnosis.
    Zhang J; Chen L
    Comput Assist Surg (Abingdon); 2019 Oct; 24(sup2):62-72. PubMed ID: 31403330
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An efficient data preprocessing approach for large scale medical data mining.
    Hu YH; Lin WC; Tsai CF; Ke SW; Chen CW
    Technol Health Care; 2015; 23(2):153-60. PubMed ID: 25515050
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel method for predicting kidney stone type using ensemble learning.
    Kazemi Y; Mirroshandel SA
    Artif Intell Med; 2018 Jan; 84():117-126. PubMed ID: 29241659
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. An attribute weight assignment and particle swarm optimization algorithm for medical database classifications.
    Chang PC; Lin JJ; Liu CH
    Comput Methods Programs Biomed; 2012 Sep; 107(3):382-92. PubMed ID: 21194784
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Data-core-based fuzzy min-max neural network for pattern classification.
    Zhang H; Liu J; Ma D; Wang Z
    IEEE Trans Neural Netw; 2011 Dec; 22(12):2339-52. PubMed ID: 22147300
    [TBL] [Abstract][Full Text] [Related]  

  • 19. LVQ algorithm with instance weighting for generation of prototype-based rules.
    Blachnik M; Duch W
    Neural Netw; 2011 Oct; 24(8):824-30. PubMed ID: 21726977
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Medical data mining by fuzzy modeling with selected features.
    Ghazavi SN; Liao TW
    Artif Intell Med; 2008 Jul; 43(3):195-206. PubMed ID: 18534831
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.