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 *

178 related articles for article (PubMed ID: 38536782)

  • 21. Cross-subject classification of depression by using multiparadigm EEG feature fusion.
    Yang J; Zhang Z; Fu Z; Li B; Xiong P; Liu X
    Comput Methods Programs Biomed; 2023 May; 233():107360. PubMed ID: 36944276
    [TBL] [Abstract][Full Text] [Related]  

  • 22. EEG Signals Classification Using Machine Learning for The Identification and Diagnosis of Schizophrenia.
    Zhang L
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4521-4524. PubMed ID: 31946870
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification.
    Siuly S; Li Y
    Comput Methods Programs Biomed; 2015 Apr; 119(1):29-42. PubMed ID: 25704869
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder.
    Ebrahimzadeh E; Fayaz F; Rajabion L; Seraji M; Aflaki F; Hammoud A; Taghizadeh Z; Asgarinejad M; Soltanian-Zadeh H
    Front Syst Neurosci; 2023; 17():919977. PubMed ID: 36968455
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Enhancing EEG-Based Classification of Depression Patients Using Spatial Information.
    Jiang C; Li Y; Tang Y; Guan C
    IEEE Trans Neural Syst Rehabil Eng; 2021; 29():566-575. PubMed ID: 33587703
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Toward practical machine-learning-based diagnosis for drug-naïve women with major depressive disorder using EEG channel reduction approach.
    Shim M; Hwang HJ; Lee SH
    J Affect Disord; 2023 Oct; 338():199-206. PubMed ID: 37302509
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Grasshopper optimization algorithm-based approach for the optimization of ensemble classifier and feature selection to classify epileptic EEG signals.
    Singh G; Singh B; Kaur M
    Med Biol Eng Comput; 2019 Jun; 57(6):1323-1339. PubMed ID: 30756231
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Major depressive disorder assessment via enhanced k-nearest neighbor method and EEG signals.
    Saeedi M; Saeedi A; Maghsoudi A
    Phys Eng Sci Med; 2020 Sep; 43(3):1007-1018. PubMed ID: 32662038
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Classification of Perceived Mental Stress Using A Commercially Available EEG Headband.
    Arsalan A; Majid M; Butt AR; Anwar SM
    IEEE J Biomed Health Inform; 2019 Nov; 23(6):2257-2264. PubMed ID: 31283515
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Classifying subclinical depression using EEG spectral and connectivity measures.
    Ghiasi S; Dell'Acqua C; Benvenuti SM; Scilingo EP; Gentili C; Valenza G; Greco A
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2050-2053. PubMed ID: 34891691
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Automated detection of depression using wavelet scattering networks.
    Sharma N; Sharma M; Tailor J; Chaudhari A; Joshi D; Acharya UR
    Med Eng Phys; 2024 Feb; 124():104107. PubMed ID: 38418014
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data.
    Ding X; Yue X; Zheng R; Bi C; Li D; Yao G
    J Affect Disord; 2019 May; 251():156-161. PubMed ID: 30925266
    [TBL] [Abstract][Full Text] [Related]  

  • 33. EEG-Based Emotion Recognition Using Quadratic Time-Frequency Distribution.
    Alazrai R; Homoud R; Alwanni H; Daoud MI
    Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30127311
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Emotional Stress State Detection Using Genetic Algorithm-Based Feature Selection on EEG Signals.
    Shon D; Im K; Park JH; Lim DS; Jang B; Kim JM
    Int J Environ Res Public Health; 2018 Nov; 15(11):. PubMed ID: 30400575
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Multi-class classification model for psychiatric disorder discrimination.
    Emre İE; Erol Ç; Taş C; Tarhan N
    Int J Med Inform; 2023 Feb; 170():104926. PubMed ID: 36442444
    [TBL] [Abstract][Full Text] [Related]  

  • 36. EEG-based mild depression recognition using convolutional neural network.
    Li X; La R; Wang Y; Niu J; Zeng S; Sun S; Zhu J
    Med Biol Eng Comput; 2019 Jun; 57(6):1341-1352. PubMed ID: 30778842
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).
    Mumtaz W; Ali SSA; Yasin MAM; Malik AS
    Med Biol Eng Comput; 2018 Feb; 56(2):233-246. PubMed ID: 28702811
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes.
    Zayed A; Belhadj N; Ben Khalifa K; Bedoui MH; Valderrama C
    Sensors (Basel); 2024 Jun; 24(13):. PubMed ID: 39001037
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A novel local senary pattern based epilepsy diagnosis system using EEG signals.
    Tuncer T; Dogan S; Akbal E
    Australas Phys Eng Sci Med; 2019 Dec; 42(4):939-948. PubMed ID: 31482442
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Graph Eigen Decomposition-Based Feature-Selection Method for Epileptic Seizure Detection Using Electroencephalography.
    Molla MKI; Hassan KM; Islam MR; Tanaka T
    Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32824708
    [TBL] [Abstract][Full Text] [Related]  

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