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 *

164 related articles for article (PubMed ID: 37719771)

  • 21. Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach.
    Kaleem M; Guergachi A; Krishnan S
    Front Digit Health; 2021; 3():738996. PubMed ID: 34966902
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Detection of Alzheimer's Dementia by Using Signal Decomposition and Machine Learning Methods.
    Cura OK; Akan A; Yilmaz GC; Ture HS
    Int J Neural Syst; 2022 Sep; 32(9):2250042. PubMed ID: 35946945
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Artificial Intelligence Model for Alzheimer's Disease Detection with Convolution Neural Network for Magnetic Resonance Images.
    Ziyad SR; Alharbi M; Altulyan M
    J Alzheimers Dis; 2023; 93(1):235-245. PubMed ID: 36970908
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Inter-hospital moderate and advanced Alzheimer's disease detection through convolutional neural networks.
    Roncero-Parra C; Parreño-Torres A; Sánchez-Reolid R; Mateo-Sotos J; Borja AL
    Heliyon; 2024 Feb; 10(4):e26298. PubMed ID: 38404892
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer's Disease Stages Using Resting-State fMRI and Residual Neural Networks.
    Ramzan F; Khan MUG; Rehmat A; Iqbal S; Saba T; Rehman A; Mehmood Z
    J Med Syst; 2019 Dec; 44(2):37. PubMed ID: 31853655
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A novel method for diagnosing Alzheimer's disease using deep pyramid CNN based on EEG signals.
    Xia W; Zhang R; Zhang X; Usman M
    Heliyon; 2023 Apr; 9(4):e14858. PubMed ID: 37025794
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Inter-Hospital Advanced and Mild Alzheimer's Disease Classification Based on Electroencephalogram Measurements via Classical Machine Learning Algorithms.
    Parreño Torres A; Roncero-Parra C; Borja AL; Mateo-Sotos J
    J Alzheimers Dis; 2023; 95(4):1667-1683. PubMed ID: 37718814
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A Greedy Optimized Intelligent Framework for Early Detection of Alzheimer's Disease Using EEG Signal.
    Swarnalatha R
    Comput Intell Neurosci; 2023; 2023():4808841. PubMed ID: 36873383
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Depth of anesthesia prediction via EEG signals using convolutional neural network and ensemble empirical mode decomposition.
    Madanu R; Rahman F; Abbod MF; Fan SZ; Shieh JS
    Math Biosci Eng; 2021 Jun; 18(5):5047-5068. PubMed ID: 34517477
    [TBL] [Abstract][Full Text] [Related]  

  • 30. EEG analysis and classification based on cardinal spline empirical mode decomposition and synchrony features.
    Ho R; Hung K
    Med Biol Eng Comput; 2022 Aug; 60(8):2359-2372. PubMed ID: 35760949
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN.
    Nour M; Senturk U; Polat K
    Comput Biol Med; 2023 Jul; 161():107031. PubMed ID: 37211002
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Assessing the Potential of EEG in Early Detection of Alzheimer's Disease: A Systematic Comprehensive Review (2000-2023).
    Ehteshamzad S
    J Alzheimers Dis Rep; 2024; 8(1):1153-1169. PubMed ID: 39247874
    [TBL] [Abstract][Full Text] [Related]  

  • 33. EEG-based classification of individuals with neuropsychiatric disorders using deep neural networks: A systematic review of current status and future directions.
    Parsa M; Rad HY; Vaezi H; Hossein-Zadeh GA; Setarehdan SK; Rostami R; Rostami H; Vahabie AH
    Comput Methods Programs Biomed; 2023 Oct; 240():107683. PubMed ID: 37406421
    [TBL] [Abstract][Full Text] [Related]  

  • 34. EEG Artifact Removal System for Depression Using a Hybrid Denoising Approach.
    Kaur C; Singh P; Sahni S
    Basic Clin Neurosci; 2021; 12(4):465-476. PubMed ID: 35154587
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Deep Learning for Alzheimer's Disease Classification using Texture Features.
    So JH; Madusanka N; Choi HK; Choi BK; Park HG
    Curr Med Imaging Rev; 2019; 15(7):689-698. PubMed ID: 32008517
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Classification of Patients with Alzheimer's Disease and Dementia with Lewy Bodies using Resting EEG Selected Features at Sensor and Source Levels: A Proof-of-Concept Study.
    San-Martin R; Fraga FJ; Del Percio C; Lizio R; Noce G; Nobili F; Arnaldi D; D'Antonio F; De Lena C; Güntekin B; Hanoğlu L; Taylor JP; McKeith I; Stocchi F; Ferri R; Onofrj M; Lopez S; Bonanni L; Babiloni C
    Curr Alzheimer Res; 2021; 18(12):956-969. PubMed ID: 34711165
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease.
    Chincarini A; Bosco P; Calvini P; Gemme G; Esposito M; Olivieri C; Rei L; Squarcia S; Rodriguez G; Bellotti R; Cerello P; De Mitri I; Retico A; Nobili F;
    Neuroimage; 2011 Sep; 58(2):469-80. PubMed ID: 21718788
    [TBL] [Abstract][Full Text] [Related]  

  • 38. DWT-EMD Feature Level Fusion Based Approach over Multi and Single Channel EEG Signals for Seizure Detection.
    Jana GC; Agrawal A; Pattnaik PK; Sain M
    Diagnostics (Basel); 2022 Jan; 12(2):. PubMed ID: 35204415
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification.
    Tautan AM; Casula E; Borghi I; Maiella M; Bonni S; Minei M; Assogna M; Ionescu B; Koch G; Santarnecchi E
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():398-401. PubMed ID: 36085825
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Multivariate Deep Learning Classification of Alzheimer's Disease Based on Hierarchical Partner Matching Independent Component Analysis.
    Qiao J; Lv Y; Cao C; Wang Z; Li A
    Front Aging Neurosci; 2018; 10():417. PubMed ID: 30618723
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.