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Journal Abstract Search

111 related items for PubMed ID: 38917281

  • 1. Integration of Multikinds Imputation With Covariance Adaptation Based on Evidence Theory.
    Huang L, Fan J, Liew AW.
    IEEE Trans Neural Netw Learn Syst; 2024 Jun 25; PP():. PubMed ID: 38917281
    [Abstract] [Full Text] [Related]

  • 2. The impact of imputation quality on machine learning classifiers for datasets with missing values.
    Shadbahr T, Roberts M, Stanczuk J, Gilbey J, Teare P, Dittmer S, Thorpe M, Torné RV, Sala E, Lió P, Patel M, Preller J, AIX-COVNET Collaboration, Rudd JHF, Mirtti T, Rannikko AS, Aston JAD, Tang J, Schönlieb CB.
    Commun Med (Lond); 2023 Oct 06; 3(1):139. PubMed ID: 37803172
    [Abstract] [Full Text] [Related]

  • 3. On mining incomplete medical datasets: Ordering imputation and classification.
    Chen CW, Lin WC, Ke SW, Tsai CF, Hu YH.
    Technol Health Care; 2015 Oct 06; 23(5):619-25. PubMed ID: 26410122
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  • 4. Missing value imputation on gene expression data using bee-based algorithm to improve classification performance.
    Chungnoy K, Tanantong T, Songmuang P.
    PLoS One; 2024 Oct 06; 19(8):e0305492. PubMed ID: 39208345
    [Abstract] [Full Text] [Related]

  • 5. The development and validation of prognostic models for overall survival in the presence of missing data in the training dataset: a strategy with a detailed example.
    Royle KL, Cairns DA.
    Diagn Progn Res; 2021 Aug 04; 5(1):14. PubMed ID: 34344484
    [Abstract] [Full Text] [Related]

  • 6. An Evidential Multi-Target Domain Adaptation Method Based on Weighted Fusion for Cross-Domain Pattern Classification.
    Huang L, Zhao W, Liu Y, Yang D, Liew AW, You Y.
    IEEE Trans Neural Netw Learn Syst; 2024 Oct 04; 35(10):14218-14232. PubMed ID: 37227909
    [Abstract] [Full Text] [Related]

  • 7. Comparison of methods for imputing limited-range variables: a simulation study.
    Rodwell L, Lee KJ, Romaniuk H, Carlin JB.
    BMC Med Res Methodol; 2014 Apr 26; 14():57. PubMed ID: 24766825
    [Abstract] [Full Text] [Related]

  • 8. The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance.
    Barakat MS, Field M, Ghose A, Stirling D, Holloway L, Vinod S, Dekker A, Thwaites D.
    Health Inf Sci Syst; 2017 Dec 26; 5(1):16. PubMed ID: 29255599
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  • 10. 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 Dec 26; 15(9):e0237724. PubMed ID: 32956366
    [Abstract] [Full Text] [Related]

  • 11. Advanced methods for missing values imputation based on similarity learning.
    Fouad KM, Ismail MM, Azar AT, Arafa MM.
    PeerJ Comput Sci; 2021 Dec 26; 7():e619. PubMed ID: 34395861
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  • 13. Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data.
    Thung KH, Yap PT, Shen D.
    Predict Intell Med; 2018 Dec 26; 11121():51-59. PubMed ID: 34447978
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  • 15. Imputation of missing values for cochlear implant candidate audiometric data and potential applications.
    Pavelchek C, Michelson AP, Walia A, Ortmann A, Herzog J, Buchman CA, Shew MA.
    PLoS One; 2023 Dec 26; 18(2):e0281337. PubMed ID: 36745652
    [Abstract] [Full Text] [Related]

  • 16. Classification of breast cancer recurrence based on imputed data: a simulation study.
    Abassi RA, Msengwa AS.
    BioData Min; 2022 Dec 07; 15(1):30. PubMed ID: 36476234
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  • 18. A real data-driven simulation strategy to select an imputation method for mixed-type trait data.
    May JA, Feng Z, Adamowicz SJ.
    PLoS Comput Biol; 2023 Mar 07; 19(3):e1010154. PubMed ID: 36947561
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