BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

187 related articles for article (PubMed ID: 38052532)

  • 1. 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]  

  • 2. Imbalanced biomedical data classification using self-adaptive multilayer ELM combined with dynamic GAN.
    Zhang L; Yang H; Jiang Z
    Biomed Eng Online; 2018 Dec; 17(1):181. PubMed ID: 30514298
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Online sequential class-specific extreme learning machine for binary imbalanced learning.
    Shukla S; Raghuwanshi BS
    Neural Netw; 2019 Nov; 119():235-248. PubMed ID: 31472290
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Affinity and class probability-based fuzzy support vector machine for imbalanced data sets.
    Tao X; Li Q; Ren C; Guo W; He Q; Liu R; Zou J
    Neural Netw; 2020 Feb; 122():289-307. PubMed ID: 31739268
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Classification of imbalanced bioinformatics data by using boundary movement-based ELM.
    Cheng K; Chen Q; Yang X; Gao S; Yu H
    Biomed Mater Eng; 2015; 26 Suppl 1():S1855-62. PubMed ID: 26405957
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
    Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
    BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Class-specific extreme learning machine for handling binary class imbalance problem.
    Raghuwanshi BS; Shukla S
    Neural Netw; 2018 Sep; 105():206-217. PubMed ID: 29870928
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Efficient Selection of Gaussian Kernel SVM Parameters for Imbalanced Data.
    Tsai CA; Chang YJ
    Genes (Basel); 2023 Feb; 14(3):. PubMed ID: 36980852
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Direct Kernel Perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation.
    Fernández-Delgado M; Cernadas E; Barro S; Ribeiro J; Neves J
    Neural Netw; 2014 Feb; 50():60-71. PubMed ID: 24287336
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Inverse free reduced universum twin support vector machine for imbalanced data classification.
    Moosaei H; Ganaie MA; Hladík M; Tanveer M
    Neural Netw; 2023 Jan; 157():125-135. PubMed ID: 36334534
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Stroke Prediction with Machine Learning Methods among Older Chinese.
    Wu Y; Fang Y
    Int J Environ Res Public Health; 2020 Mar; 17(6):. PubMed ID: 32178250
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine.
    Wang KF; An J; Wei Z; Cui C; Ma XH; Ma C; Bao HQ
    Front Bioeng Biotechnol; 2021; 9():802712. PubMed ID: 35127672
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of Imbalanced Data by Oversampling in Kernel Space of Support Vector Machines.
    Mathew J; Pang CK; Luo M; Leong WH
    IEEE Trans Neural Netw Learn Syst; 2018 Sep; 29(9):4065-4076. PubMed ID: 29028213
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification.
    Kang Q; Shi L; Zhou M; Wang X; Wu Q; Wei Z
    IEEE Trans Neural Netw Learn Syst; 2018 Sep; 29(9):4152-4165. PubMed ID: 29990027
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Diagnosis of Brain Metastases from Lung Cancer Using a Modified Electromagnetism like Mechanism Algorithm.
    Chen KH; Wang KJ; Adrian AM; Wang KM; Teng NC
    J Med Syst; 2016 Jan; 40(1):35. PubMed ID: 26573656
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.
    Sakr S; Elshawi R; Ahmed AM; Qureshi WT; Brawner CA; Keteyian SJ; Blaha MJ; Al-Mallah MH
    BMC Med Inform Decis Mak; 2017 Dec; 17(1):174. PubMed ID: 29258510
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM.
    Wang Q; Luo Z; Huang J; Feng Y; Liu Z
    Comput Intell Neurosci; 2017; 2017():1827016. PubMed ID: 28250765
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.