BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

412 related articles for article (PubMed ID: 35027065)

  • 1. Application of machine learning missing data imputation techniques in clinical decision making: taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage as an example.
    Wang H; Tang J; Wu M; Wang X; Zhang T
    BMC Med Inform Decis Mak; 2022 Jan; 22(1):13. PubMed ID: 35027065
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A simulation study on missing data imputation for dichotomous variables using statistical and machine learning methods.
    Ge Y; Li Z; Zhang J
    Sci Rep; 2023 Jun; 13(1):9432. PubMed ID: 37296269
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Comparison of the effects of imputation methods for missing data in predictive modelling of cohort study datasets.
    Li J; Guo S; Ma R; He J; Zhang X; Rui D; Ding Y; Li Y; Jian L; Cheng J; Guo H
    BMC Med Res Methodol; 2024 Feb; 24(1):41. PubMed ID: 38365610
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study.
    Ferri P; Romero-Garcia N; Badenes R; Lora-Pablos D; Morales TG; Gómez de la Cámara A; García-Gómez JM; Sáez C
    Comput Methods Programs Biomed; 2023 Dec; 242():107803. PubMed ID: 37703700
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation of machine learning methods for covariate data imputation in pharmacometrics.
    Bräm DS; Nahum U; Atkinson A; Koch G; Pfister M
    CPT Pharmacometrics Syst Pharmacol; 2022 Dec; 11(12):1638-1648. PubMed ID: 36346135
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Prediction of patient choice tendency in medical decision-making based on machine learning algorithm.
    Lyu Y; Xu Q; Yang Z; Liu J
    Front Public Health; 2023; 11():1087358. PubMed ID: 36908484
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Advanced methods for missing values imputation based on similarity learning.
    Fouad KM; Ismail MM; Azar AT; Arafa MM
    PeerJ Comput Sci; 2021; 7():e619. PubMed ID: 34395861
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust imputation method with context-aware voting ensemble model for management of water-quality data.
    Choi J; Lim KJ; Ji B
    Water Res; 2023 Sep; 243():120369. PubMed ID: 37499538
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessing and comparison of different machine learning methods in parent-offspring trios for genotype imputation.
    Mikhchi A; Honarvar M; Kashan NE; Aminafshar M
    J Theor Biol; 2016 Jun; 399():148-58. PubMed ID: 27049046
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Self-Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study.
    Gwon H; Ahn I; Kim Y; Kang HJ; Seo H; Cho HN; Choi H; Jun TJ; Kim YH
    JMIR Public Health Surveill; 2021 Oct; 7(10):e30824. PubMed ID: 34643539
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data.
    Liu Y; Gopalakrishnan V
    Data (Basel); 2017 Mar; 2(1):. PubMed ID: 28243594
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improving Outcome Predictions for Patients Receiving Mechanical Circulatory Support by Optimizing Imputation of Missing Values.
    Jaeger BC; Cantor R; Sthanam V; Xie R; Kirklin JK; Rudraraju R
    Circ Cardiovasc Qual Outcomes; 2021 Sep; 14(9):e007071. PubMed ID: 34517728
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine learning models predict coagulopathy in spontaneous intracerebral hemorrhage patients in ER.
    Zhu F; Pan Z; Tang Y; Fu P; Cheng S; Hou W; Zhang Q; Huang H; Sun Y
    CNS Neurosci Ther; 2021 Jan; 27(1):92-100. PubMed ID: 33249760
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry.
    Rios R; Miller RJH; Manral N; Sharir T; Einstein AJ; Fish MB; Ruddy TD; Kaufmann PA; Sinusas AJ; Miller EJ; Bateman TM; Dorbala S; Di Carli M; Van Kriekinge SD; Kavanagh PB; Parekh T; Liang JX; Dey D; Berman DS; Slomka PJ
    Comput Biol Med; 2022 Jun; 145():105449. PubMed ID: 35381453
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SuperMICE: An Ensemble Machine Learning Approach to Multiple Imputation by Chained Equations.
    Laqueur HS; Shev AB; Kagawa RMC
    Am J Epidemiol; 2022 Feb; 191(3):516-525. PubMed ID: 34788362
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series data.
    Mir AA; Kearfott KJ; Çelebi FV; Rafique M
    PLoS One; 2022; 17(1):e0262131. PubMed ID: 35025953
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics.
    Dekermanjian JP; Shaddox E; Nandy D; Ghosh D; Kechris K
    BMC Bioinformatics; 2022 May; 23(1):179. PubMed ID: 35578165
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.