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 *

155 related articles for article (PubMed ID: 32509717)

  • 1. Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis.
    Fujiwara K; Huang Y; Hori K; Nishioji K; Kobayashi M; Kamaguchi M; Kano M
    Front Public Health; 2020; 8():178. PubMed ID: 32509717
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classifying adverse drug reactions from imbalanced twitter data.
    Dai HJ; Wang CK
    Int J Med Inform; 2019 Sep; 129():122-132. PubMed ID: 31445246
    [TBL] [Abstract][Full Text] [Related]  

  • 3. RSMOTE: improving classification performance over imbalanced medical datasets.
    Naseriparsa M; Al-Shammari A; Sheng M; Zhang Y; Zhou R
    Health Inf Sci Syst; 2020 Dec; 8(1):22. PubMed ID: 32549976
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Transfer Boosting With Synthetic Instances for Class Imbalanced Object Recognition.
    Zhang X; Zhuang Y; Wang W; Pedrycz W
    IEEE Trans Cybern; 2018 Jan; 48(1):357-370. PubMed ID: 28026795
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improved support vector machine classification for imbalanced medical datasets by novel hybrid sampling combining modified mega-trend-diffusion and bagging extreme learning machine model.
    Lin LS; Kao CH; Li YJ; Chen HH; Chen HY
    Math Biosci Eng; 2023 Sep; 20(10):17672-17701. PubMed ID: 38052532
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data.
    Hao M; Wang Y; Bryant SH
    Anal Chim Acta; 2014 Jan; 806():117-27. PubMed ID: 24331047
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A cluster-based SMOTE both-sampling (CSBBoost) ensemble algorithm for classifying imbalanced data.
    Salehi AR; Khedmati M
    Sci Rep; 2024 Mar; 14(1):5152. PubMed ID: 38431701
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comprehensive data level analysis for cancer diagnosis on imbalanced data.
    Fotouhi S; Asadi S; Kattan MW
    J Biomed Inform; 2019 Feb; 90():103089. PubMed ID: 30611011
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine learning algorithms, bull genetic information, and imbalanced datasets used in abortion incidence prediction models for Iranian Holstein dairy cattle.
    Keshavarzi H; Sadeghi-Sefidmazgi A; Mirzaei A; Ravanifard R
    Prev Vet Med; 2020 Feb; 175():104869. PubMed ID: 31896505
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Structure-activity relationship-based chemical classification of highly imbalanced Tox21 datasets.
    Idakwo G; Thangapandian S; Luttrell J; Li Y; Wang N; Zhou Z; Hong H; Yang B; Zhang C; Gong P
    J Cheminform; 2020 Oct; 12(1):66. PubMed ID: 33372637
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification.
    Li J; Fong S; Sung Y; Cho K; Wong R; Wong KKL
    BioData Min; 2016; 9():37. PubMed ID: 27980678
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Ensemble learning with active example selection for imbalanced biomedical data classification.
    Oh S; Lee MS; Zhang BT
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(2):316-25. PubMed ID: 20876935
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A hybrid sampling algorithm combining M-SMOTE and ENN based on Random forest for medical imbalanced data.
    Xu Z; Shen D; Nie T; Kou Y
    J Biomed Inform; 2020 Jul; 107():103465. PubMed ID: 32512209
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Noise-Filtered Under-Sampling Scheme for Imbalanced Classification.
    Kang Q; Chen X; Li S; Zhou M
    IEEE Trans Cybern; 2017 Dec; 47(12):4263-4274. PubMed ID: 28113413
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Imbalanced class learning in epigenetics.
    Haque MM; Skinner MK; Holder LB
    J Comput Biol; 2014 Jul; 21(7):492-507. PubMed ID: 24798423
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A cluster-based hybrid sampling approach for imbalanced data classification.
    Feng S; Zhao C; Fu P
    Rev Sci Instrum; 2020 May; 91(5):055101. PubMed ID: 32486749
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A hybrid ensemble and evolutionary algorithm for imbalanced classification and its application on bioinformatics.
    Zhang Y; Lin M; Yang Y; Ding C
    Comput Biol Chem; 2022 Jun; 98():107646. PubMed ID: 35240419
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian network-based over-sampling method (BOSME) with application to indirect cost-sensitive learning.
    Delgado R; Núñez-González JD
    Sci Rep; 2022 May; 12(1):8724. PubMed ID: 35610323
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Embedding Undersampling Rotation Forest for Imbalanced Problem.
    Guo H; Diao X; Liu H
    Comput Intell Neurosci; 2018; 2018():6798042. PubMed ID: 30515200
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An oversampling method for multi-class imbalanced data based on composite weights.
    Deng M; Guo Y; Wang C; Wu F
    PLoS One; 2021; 16(11):e0259227. PubMed ID: 34767567
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.