BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 31656592)

  • 21. Missing Value Estimation using Clustering and Deep Learning within Multiple Imputation Framework.
    Samad MD; Abrar S; Diawara N
    Knowl Based Syst; 2022 Aug; 249():. PubMed ID: 36159738
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A new analytical framework for missing data imputation and classification with uncertainty: Missing data imputation and heart failure readmission prediction.
    Hu Z; Du D
    PLoS One; 2020; 15(9):e0237724. PubMed ID: 32956366
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Efficient technique of microarray missing data imputation using clustering and weighted nearest neighbour.
    Dubey A; Rasool A
    Sci Rep; 2021 Dec; 11(1):24297. PubMed ID: 34934107
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review.
    Nijman S; Leeuwenberg AM; Beekers I; Verkouter I; Jacobs J; Bots ML; Asselbergs FW; Moons K; Debray T
    J Clin Epidemiol; 2022 Feb; 142():218-229. PubMed ID: 34798287
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty.
    Nagarajan G; Dhinesh Babu LD
    Artif Intell Med; 2022 Jan; 123():102214. PubMed ID: 34998512
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Strategies for handling missing data that improve Frailty Index estimation and predictive power: lessons from the NHANES dataset.
    Pridham G; Rockwood K; Rutenberg A
    Geroscience; 2022 Apr; 44(2):897-923. PubMed ID: 35103915
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Random Forest Missing Data Algorithms.
    Tang F; Ishwaran H
    Stat Anal Data Min; 2017 Dec; 10(6):363-377. PubMed ID: 29403567
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Missing data techniques in classification for cardiovascular dysautonomias diagnosis.
    Idri A; Kadi I; Abnane I; Fernandez-Aleman JL
    Med Biol Eng Comput; 2020 Nov; 58(11):2863-2878. PubMed ID: 32970269
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The Optimal Machine Learning-Based Missing Data Imputation for the Cox Proportional Hazard Model.
    Guo CY; Yang YC; Chen YH
    Front Public Health; 2021; 9():680054. PubMed ID: 34291028
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Missing data in the American College of Surgeons National Surgical Quality Improvement Program are not missing at random: implications and potential impact on quality assessments.
    Hamilton BH; Ko CY; Richards K; Hall BL
    J Am Coll Surg; 2010 Feb; 210(2):125-139.e2. PubMed ID: 20113932
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Impact of missing data imputation methods on gene expression clustering and classification.
    de Souto MC; Jaskowiak PA; Costa IG
    BMC Bioinformatics; 2015 Feb; 16():64. PubMed ID: 25888091
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A Pragmatic Ensemble Strategy for Missing Values Imputation in Health Records.
    Batra S; Khurana R; Khan MZ; Boulila W; Koubaa A; Srivastava P
    Entropy (Basel); 2022 Apr; 24(4):. PubMed ID: 35455196
    [TBL] [Abstract][Full Text] [Related]  

  • 33. An Efficient and Effective Model to Handle Missing Data in Classification.
    Mehrabani-Zeinabad K; Doostfatemeh M; Ayatollahi SMT
    Biomed Res Int; 2020; 2020():8810143. PubMed ID: 33299878
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Non-linear missing data imputation for healthcare data via index-aware autoencoders.
    Kabir S; Farrokhvar L
    Health Care Manag Sci; 2022 Sep; 25(3):484-497. PubMed ID: 35737282
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A novel machine learning-based imputation strategy for missing data in step-stress accelerated degradation test.
    Li Y; Zhou Q; Fan Y; Pan G; Dai Z; Lei B
    Heliyon; 2024 Feb; 10(4):e26429. PubMed ID: 38434061
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Evaluating the impact of multivariate imputation by MICE in feature selection.
    Mera-Gaona M; Neumann U; Vargas-Canas R; López DM
    PLoS One; 2021; 16(7):e0254720. PubMed ID: 34320016
    [TBL] [Abstract][Full Text] [Related]  

  • 37. On the Relation between Prediction and Imputation Accuracy under Missing Covariates.
    Ramosaj B; Tulowietzki J; Pauly M
    Entropy (Basel); 2022 Mar; 24(3):. PubMed ID: 35327897
    [TBL] [Abstract][Full Text] [Related]  

  • 38. The multiple imputation method: a case study involving secondary data analysis.
    Walani SR; Cleland CM
    Nurse Res; 2015 May; 22(5):13-9. PubMed ID: 25976532
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparison of Missing Data Infilling Mechanisms for Recovering a Real-World Single Station Streamflow Observation.
    Baddoo TD; Li Z; Odai SN; Boni KRC; Nooni IK; Andam-Akorful SA
    Int J Environ Res Public Health; 2021 Aug; 18(16):. PubMed ID: 34444127
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Imputing cross-sectional missing data: comparison of common techniques.
    Hawthorne G; Elliott P
    Aust N Z J Psychiatry; 2005 Jul; 39(7):583-90. PubMed ID: 15996139
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.