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 *

143 related articles for article (PubMed ID: 34435275)

  • 21. Investigation of low dimensional feature spaces for automatic sleep staging.
    Tabar YR; Mikkelsen KB; Rank ML; Hemmsen MC; Kidmose P
    Comput Methods Programs Biomed; 2021 Jun; 205():106091. PubMed ID: 33882415
    [TBL] [Abstract][Full Text] [Related]  

  • 22. An obstructive sleep apnea detection approach using kernel density classification based on single-lead electrocardiogram.
    Chen L; Zhang X; Wang H
    J Med Syst; 2015 May; 39(5):47. PubMed ID: 25732075
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Feature Selection With Maximal Relevance and Minimal Supervised Redundancy.
    Wang Y; Li X; Ruiz R
    IEEE Trans Cybern; 2023 Feb; 53(2):707-717. PubMed ID: 35130179
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals.
    Malan NS; Sharma S
    Comput Biol Med; 2019 Apr; 107():118-126. PubMed ID: 30802693
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Feature Selection Methods for Robust Decoding of Finger Movements in a Non-human Primate.
    Padmanaban S; Baker J; Greger B
    Front Neurosci; 2018; 12():22. PubMed ID: 29467602
    [No Abstract]   [Full Text] [Related]  

  • 26. Ensemble learning algorithm based on multi-parameters for sleep staging.
    Wang Q; Zhao D; Wang Y; Hou X
    Med Biol Eng Comput; 2019 Aug; 57(8):1693-1707. PubMed ID: 31104274
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A universal deep learning approach for modeling the flow of patients under different severities.
    Jiang S; Chin KS; Tsui KL
    Comput Methods Programs Biomed; 2018 Feb; 154():191-203. PubMed ID: 29249343
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Exploiting temporal and nonstationary features in breathing sound analysis for multiple obstructive sleep apnea severity classification.
    Kim J; Kim T; Lee D; Kim JW; Lee K
    Biomed Eng Online; 2017 Jan; 16(1):6. PubMed ID: 28086902
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A new feature selection algorithm based on relevance, redundancy and complementarity.
    Li C; Luo X; Qi Y; Gao Z; Lin X
    Comput Biol Med; 2020 Apr; 119():103667. PubMed ID: 32339114
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Automatic Detection of Obstructive Sleep Apnea Using Wavelet Transform and Entropy-Based Features From Single-Lead ECG Signal.
    Zarei A; Asl BM
    IEEE J Biomed Health Inform; 2019 May; 23(3):1011-1021. PubMed ID: 29993564
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Multi-objective Evolutionary Approach for the Performance Improvement of Learners using Ensembling Feature Selection and Discretization Technique on Medical Data.
    Singh D; Sisodia DS; Singh P
    Curr Med Imaging; 2020; 16(4):355-370. PubMed ID: 32410538
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal.
    B VP; Chinara S
    J Neurosci Methods; 2021 Jan; 347():108927. PubMed ID: 32941920
    [TBL] [Abstract][Full Text] [Related]  

  • 33. CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests.
    Ma L; Fan S
    BMC Bioinformatics; 2017 Mar; 18(1):169. PubMed ID: 28292263
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Classification of high dimensional biomedical data based on feature selection using redundant removal.
    Zhang B; Cao P
    PLoS One; 2019; 14(4):e0214406. PubMed ID: 30964868
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy.
    Liu X; Zhou S
    Entropy (Basel); 2023 Feb; 25(2):. PubMed ID: 36832691
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Input feature selection for classification problems.
    Kwak N; Choi CH
    IEEE Trans Neural Netw; 2002; 13(1):143-59. PubMed ID: 18244416
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A method to detect obstructive sleep apnea using neural network classification of time-frequency plots of the heart rate variability.
    Al-Abed M; Manry M; Burk JR; Lucas EA; Behbehani K
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():6102-5. PubMed ID: 18003407
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals.
    Zarei R; He J; Siuly S; Zhang Y
    Comput Methods Programs Biomed; 2017 Jul; 146():47-57. PubMed ID: 28688489
    [TBL] [Abstract][Full Text] [Related]  

  • 39. [Motor Imagery Electroencephalogram Feature Selection Algorithm Based on Mutual Information and Principal Component Analysis].
    Xu J; Zuo G
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Apr; 33(2):201-7. PubMed ID: 29708316
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Incorporating feature selection methods into a machine learning-based neonatal seizure diagnosis.
    Açıkoğlu M; Tuncer SA
    Med Hypotheses; 2020 Feb; 135():109464. PubMed ID: 31731060
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.