These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 31488920)

  • 1. Detecting Examinees With Item Preknowledge in Large-Scale Testing Using Extreme Gradient Boosting (XGBoost).
    Zopluoglu C
    Educ Psychol Meas; 2019 Oct; 79(5):931-961. PubMed ID: 31488920
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparing the Performance of Eight Item Preknowledge Detection Statistics.
    Belov DI
    Appl Psychol Meas; 2016 Mar; 40(2):83-97. PubMed ID: 29881040
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The use of item scores and response times to detect examinees who may have benefited from item preknowledge.
    Sinharay S; Johnson MS
    Br J Math Stat Psychol; 2020 Nov; 73(3):397-419. PubMed ID: 31418458
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detection of Item Preknowledge Using Response Times.
    Sinharay S
    Appl Psychol Meas; 2020 Jul; 44(5):376-392. PubMed ID: 32879537
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Which Statistic Should Be Used to Detect Item Preknowledge When the Set of Compromised Items Is Known?
    Sinharay S
    Appl Psychol Meas; 2017 Sep; 41(6):403-421. PubMed ID: 29881099
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery.
    Kilic A; Goyal A; Miller JK; Gjekmarkaj E; Tam WL; Gleason TG; Sultan I; Dubrawksi A
    Ann Thorac Surg; 2020 Jun; 109(6):1811-1819. PubMed ID: 31706872
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detecting Examinees With Item Preknowledge on Real Data.
    Belov DI; Toton SL
    Appl Psychol Meas; 2022 Jun; 46(4):273-287. PubMed ID: 35601263
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detecting Item Preknowledge Using a Predictive Checking Method.
    Wang X; Liu Y; Hambleton RK
    Appl Psychol Meas; 2017 Jun; 41(4):243-263. PubMed ID: 29881091
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study.
    Maeta K; Nishiyama Y; Fujibayashi K; Gunji T; Sasabe N; Iijima K; Naito T
    JMIR Diabetes; 2018 Nov; 3(4):e10212. PubMed ID: 30478026
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of lung cancer risk in Chinese population with genetic-environment factor using extreme gradient boosting.
    Li Y; Zou Z; Gao Z; Wang Y; Xiao M; Xu C; Jiang G; Wang H; Jin L; Wang J; Wang HZ; Guo S; Wu J
    Cancer Med; 2022 Dec; 11(23):4469-4478. PubMed ID: 35499292
    [TBL] [Abstract][Full Text] [Related]  

  • 11. XGBoost, a Machine Learning Method, Predicts Neurological Recovery in Patients with Cervical Spinal Cord Injury.
    Inoue T; Ichikawa D; Ueno T; Cheong M; Inoue T; Whetstone WD; Endo T; Nizuma K; Tominaga T
    Neurotrauma Rep; 2020; 1(1):8-16. PubMed ID: 34223526
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On the Use of Machine Learning Models for Prediction of Compressive Strength of Concrete: Influence of Dimensionality Reduction on the Model Performance.
    Wan Z; Xu Y; Šavija B
    Materials (Basel); 2021 Feb; 14(4):. PubMed ID: 33546376
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting urinary tract infections in the emergency department with machine learning.
    Taylor RA; Moore CL; Cheung KH; Brandt C
    PLoS One; 2018; 13(3):e0194085. PubMed ID: 29513742
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Two New Models for Item Preknowledge.
    Gorney K; Wollack JA
    Appl Psychol Meas; 2022 Sep; 46(6):447-461. PubMed ID: 35991826
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integration of the Extreme Gradient Boosting model with electronic health records to enable the early diagnosis of multiple sclerosis.
    Wang R; Luo W; Liu Z; Liu W; Liu C; Liu X; Zhu H; Li R; Song J; Hu X; Han S; Qiu W
    Mult Scler Relat Disord; 2021 Jan; 47():102632. PubMed ID: 33276240
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.
    Nishio M; Nishizawa M; Sugiyama O; Kojima R; Yakami M; Kuroda T; Togashi K
    PLoS One; 2018; 13(4):e0195875. PubMed ID: 29672639
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Discovery of Depression-Associated Factors From a Nationwide Population-Based Survey: Epidemiological Study Using Machine Learning and Network Analysis.
    Nam SM; Peterson TA; Seo KY; Han HW; Kang JI
    J Med Internet Res; 2021 Jun; 23(6):e27344. PubMed ID: 34184998
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification.
    Shi H; Wang H; Huang Y; Zhao L; Qin C; Liu C
    Comput Methods Programs Biomed; 2019 Apr; 171():1-10. PubMed ID: 30902245
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of Orphan Genes in Unbalanced Datasets Based on Ensemble Learning.
    Gao Q; Jin X; Xia E; Wu X; Gu L; Yan H; Xia Y; Li S
    Front Genet; 2020; 11():820. PubMed ID: 33133122
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Classification Performance of Answer-Copying Indices Under Different Types of IRT Models.
    Zopluoglu C
    Appl Psychol Meas; 2016 Nov; 40(8):592-607. PubMed ID: 29881072
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.