BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 36897184)

  • 1. Personalized online ensemble machine learning with applications for dynamic data streams.
    Malenica I; Phillips RV; Chambaz A; Hubbard AE; Pirracchio R; van der Laan MJ
    Stat Med; 2023 Mar; 42(7):1013-1044. PubMed ID: 36897184
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Online cross-validation-based ensemble learning.
    Benkeser D; Ju C; Lendle S; van der Laan M
    Stat Med; 2018 Jan; 37(2):249-260. PubMed ID: 28474419
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An Adaptive Heterogeneous Online Learning Ensemble Classifier for Nonstationary Environments.
    Museba T; Nelwamondo F; Ouahada K
    Comput Intell Neurosci; 2021; 2021():6669706. PubMed ID: 33815495
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis.
    Gibson WJ; Nafee T; Travis R; Yee M; Kerneis M; Ohman M; Gibson CM
    J Thromb Thrombolysis; 2020 Jan; 49(1):1-9. PubMed ID: 31535314
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Stacked generalization: an introduction to super learning.
    Naimi AI; Balzer LB
    Eur J Epidemiol; 2018 May; 33(5):459-464. PubMed ID: 29637384
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evolution and impact of bias in human and machine learning algorithm interaction.
    Sun W; Nasraoui O; Shafto P
    PLoS One; 2020; 15(8):e0235502. PubMed ID: 32790666
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Ensemble learning approach for advanced metering infrastructure in future smart grids.
    Irfan M; Ayub N; Althobiani F; Masood S; Arbab Ahmed Q; Saeed MH; Rahman S; Abdushkour H; Gommosani ME; Shamji VR; Faraj Mursal SN
    PLoS One; 2023; 18(10):e0289672. PubMed ID: 37851626
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A hybrid super ensemble learning model for the early-stage prediction of diabetes risk.
    Doğru A; Buyrukoğlu S; Arı M
    Med Biol Eng Comput; 2023 Mar; 61(3):785-797. PubMed ID: 36602674
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Super Learner for Survival Data Prediction.
    Golmakani MK; Polley EC
    Int J Biostat; 2020 Feb; ():. PubMed ID: 32097120
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.
    Gruber S; Logan RW; Jarrín I; Monge S; Hernán MA
    Stat Med; 2015 Jan; 34(1):106-17. PubMed ID: 25316152
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Can Hyperparameter Tuning Improve the Performance of a Super Learner?: A Case Study.
    Wong J; Manderson T; Abrahamowicz M; Buckeridge DL; Tamblyn R
    Epidemiology; 2019 Jul; 30(4):521-531. PubMed ID: 30985529
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Synthetic Model Combination: A new machine-learning method for pharmacometric model ensembling.
    Chan A; Peck R; Gibbs M; van der Schaar M
    CPT Pharmacometrics Syst Pharmacol; 2023 Jul; 12(7):953-962. PubMed ID: 37042155
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Practical considerations for specifying a super learner.
    Phillips RV; van der Laan MJ; Lee H; Gruber S
    Int J Epidemiol; 2023 Aug; 52(4):1276-1285. PubMed ID: 36905602
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Incremental Ant-Miner Classifier for Online Big Data Analytics.
    Al-Dawsari A; Al-Turaiki I; Kurdi H
    Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336394
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mortality risk score prediction in an elderly population using machine learning.
    Rose S
    Am J Epidemiol; 2013 Mar; 177(5):443-52. PubMed ID: 23364879
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning.
    Chen Z; Fang Z; Fan W; Edwards A; Zhang K
    SIAM Rev Soc Ind Appl Math; 2017 Apr; 2017():759-767. PubMed ID: 29861512
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization.
    Yang C; Ding J; Jin Y; Chai T
    Evol Comput; 2023 Dec; 31(4):433-458. PubMed ID: 37155647
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Heterogeneous ensemble learning for enhanced crash forecasts - A frequentist and machine learning based stacking framework.
    Ahmad N; Wali B; Khattak AJ
    J Safety Res; 2023 Feb; 84():418-434. PubMed ID: 36868672
    [TBL] [Abstract][Full Text] [Related]  

  • 20. AUC-Maximizing Ensembles through Metalearning.
    LeDell E; van der Laan MJ; Petersen M
    Int J Biostat; 2016 May; 12(1):203-18. PubMed ID: 27227721
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.