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 *

121 related articles for article (PubMed ID: 35609192)

  • 21. ATEN: And/Or tree ensemble for inferring accurate Boolean network topology and dynamics.
    Shi N; Zhu Z; Tang K; Parker D; He S
    Bioinformatics; 2020 Jan; 36(2):578-585. PubMed ID: 31368481
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes.
    Wang Y; Goh W; Wong L; Montana G;
    BMC Bioinformatics; 2013; 14 Suppl 16(Suppl 16):S6. PubMed ID: 24564704
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A Novel Personalized Random Forest Algorithm for Clinical Outcome Prediction.
    Johnson A; Cooper GF; Visweswaran S
    Stud Health Technol Inform; 2022 Jun; 290():248-252. PubMed ID: 35673011
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency.
    Sun J; Yu H; Zhong G; Dong J; Zhang S; Yu H
    IEEE Trans Cybern; 2022 Jan; 52(1):205-214. PubMed ID: 32203041
    [TBL] [Abstract][Full Text] [Related]  

  • 25. [Prediction of intensive care unit readmission for critically ill patients based on ensemble learning].
    Lin Y; Wu JY; Lin K; Hu YH; Kong GL
    Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Jun; 53(3):566-572. PubMed ID: 34145862
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal Adaptive Learning.
    Isabona J; Imoize AL; Kim Y
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632184
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Evaluating High-Variance Leaves as Uncertainty Measure for Random Forest Regression.
    Dutschmann TM; Baumann K
    Molecules; 2021 Oct; 26(21):. PubMed ID: 34770921
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis-Experience from the LSOS study cohort.
    Huber FA; Stutz S; Vittoria de Martini I; Mannil M; Becker AS; Winklhofer S; Burgstaller JM; Guggenberger R
    Eur J Radiol; 2019 May; 114():45-50. PubMed ID: 31005175
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Drug-target interaction prediction with tree-ensemble learning and output space reconstruction.
    Pliakos K; Vens C
    BMC Bioinformatics; 2020 Feb; 21(1):49. PubMed ID: 32033537
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.
    Abdel-Fattah MA; Othman NA; Goher N
    Comput Intell Neurosci; 2022; 2022():9898831. PubMed ID: 35251161
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh.
    Rahman M; Chen N; Elbeltagi A; Islam MM; Alam M; Pourghasemi HR; Tao W; Zhang J; Shufeng T; Faiz H; Baig MA; Dewan A
    J Environ Manage; 2021 Oct; 295():113086. PubMed ID: 34153582
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors.
    Soybilgen B; Yazgan E
    Comput Econ; 2021; 57(1):387-417. PubMed ID: 33437130
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Nonparametric machine learning for precision medicine with longitudinal clinical trials and Bayesian additive regression trees with mixed models.
    Spanbauer C; Sparapani R
    Stat Med; 2021 May; 40(11):2665-2691. PubMed ID: 33751659
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
    Ramírez J; Górriz JM; Ortiz A; Martínez-Murcia FJ; Segovia F; Salas-Gonzalez D; Castillo-Barnes D; Illán IA; Puntonet CG;
    J Neurosci Methods; 2018 May; 302():47-57. PubMed ID: 29242123
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0.
    Peppes N; Daskalakis E; Alexakis T; Adamopoulou E; Demestichas K
    Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833551
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Large unbalanced credit scoring using Lasso-logistic regression ensemble.
    Wang H; Xu Q; Zhou L
    PLoS One; 2015; 10(2):e0117844. PubMed ID: 25706988
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The parameter sensitivity of random forests.
    Huang BF; Boutros PC
    BMC Bioinformatics; 2016 Sep; 17(1):331. PubMed ID: 27586051
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison.
    Ali MM; Paul BK; Ahmed K; Bui FM; Quinn JMW; Moni MA
    Comput Biol Med; 2021 Sep; 136():104672. PubMed ID: 34315030
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predication of different stages of Alzheimer's disease using neighborhood component analysis and ensemble decision tree.
    Jin M; Deng W
    J Neurosci Methods; 2018 May; 302():35-41. PubMed ID: 29486213
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Contemporary QSAR classifiers compared.
    Bruce CL; Melville JL; Pickett SD; Hirst JD
    J Chem Inf Model; 2007; 47(1):219-27. PubMed ID: 17238267
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.