BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

259 related articles for article (PubMed ID: 31296052)

  • 41. [Differential diagnosis of autism spectrum disorder and global developmental delay based on machine learning and Children Neuropsychological and Behavioral Scale].
    Zhou G; Zhang XB; Qu XD; Luo MF; Peng QL; Ma LY; Zhao Z
    Zhongguo Dang Dai Er Ke Za Zhi; 2023 Oct; 25(10):1028-1033. PubMed ID: 37905759
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Autism Spectrum Disorder Diagnostic System Using HOS Bispectrum with EEG Signals.
    Pham TH; Vicnesh J; Wei JKE; Oh SL; Arunkumar N; Abdulhay EW; Ciaccio EJ; Acharya UR
    Int J Environ Res Public Health; 2020 Feb; 17(3):. PubMed ID: 32033231
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Automated identification of postural control for children with autism spectrum disorder using a machine learning approach.
    Li Y; Mache MA; Todd TA
    J Biomech; 2020 Dec; 113():110073. PubMed ID: 33142203
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Electroencephalogram (EEG) for children with autism spectrum disorder: evidential considerations for routine screening.
    Swatzyna RJ; Boutros NN; Genovese AC; MacInerney EK; Roark AJ; Kozlowski GP
    Eur Child Adolesc Psychiatry; 2019 May; 28(5):615-624. PubMed ID: 30218395
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Computer-aided diagnosis of autism spectrum disorder from EEG signals using deep learning with FAWT and multiscale permutation entropy features.
    Chawla P; Rana SB; Kaur H; Singh K
    Proc Inst Mech Eng H; 2023 Feb; 237(2):282-294. PubMed ID: 36515392
    [TBL] [Abstract][Full Text] [Related]  

  • 46. EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach.
    Bosl WJ; Tager-Flusberg H; Nelson CA
    Sci Rep; 2018 May; 8(1):6828. PubMed ID: 29717196
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Regional-Asymmetric Adaptive Graph Convolutional Neural Network for Diagnosis of Autism in Children With Resting-State EEG.
    Hu W; Jiang G; Han J; Li X; Xie P
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():200-211. PubMed ID: 38145528
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Application of Machine Learning Techniques to Detect the Children with Autism Spectrum Disorder.
    Liao M; Duan H; Wang G
    J Healthc Eng; 2022; 2022():9340027. PubMed ID: 35368925
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Autism Spectrum Disorder detection framework for children based on federated learning integrated CNN-LSTM.
    Lakhan A; Mohammed MA; Abdulkareem KH; Hamouda H; Alyahya S
    Comput Biol Med; 2023 Nov; 166():107539. PubMed ID: 37804778
    [TBL] [Abstract][Full Text] [Related]  

  • 50. A hybrid graph network model for ASD diagnosis based on resting-state EEG signals.
    Tang T; Li C; Zhang S; Chen Z; Yang L; Mu Y; Chen J; Xu P; Gao D; Li F; He B; Zhu Y
    Brain Res Bull; 2024 Jan; 206():110826. PubMed ID: 38040298
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism.
    Levy S; Duda M; Haber N; Wall DP
    Mol Autism; 2017; 8():65. PubMed ID: 29270283
    [TBL] [Abstract][Full Text] [Related]  

  • 52. A study on EEG feature extraction and classification in autistic children based on singular spectrum analysis method.
    Zhao J; Song J; Li X; Kang J
    Brain Behav; 2020 Dec; 10(12):e01721. PubMed ID: 33125837
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Identification of newborns at risk for autism using electronic medical records and machine learning.
    Rahman R; Kodesh A; Levine SZ; Sandin S; Reichenberg A; Schlessinger A
    Eur Psychiatry; 2020 Feb; 63(1):e22. PubMed ID: 32100657
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Identifying predictive features of autism spectrum disorders in a clinical sample of adolescents and adults using machine learning.
    Küpper C; Stroth S; Wolff N; Hauck F; Kliewer N; Schad-Hansjosten T; Kamp-Becker I; Poustka L; Roessner V; Schultebraucks K; Roepke S
    Sci Rep; 2020 Mar; 10(1):4805. PubMed ID: 32188882
    [TBL] [Abstract][Full Text] [Related]  

  • 55. A new computational intelligence approach to detect autistic features for autism screening.
    Thabtah F; Kamalov F; Rajab K
    Int J Med Inform; 2018 Sep; 117():112-124. PubMed ID: 30032959
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Disordered cortical connectivity underlies the executive function deficits in children with autism spectrum disorders.
    Han YM; Chan AS
    Res Dev Disabil; 2017 Feb; 61():19-31. PubMed ID: 28042973
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Behavioral inhibition and activation as a modifier process in autism spectrum disorder: Examination of self-reported BIS/BAS and alpha EEG asymmetry.
    Schiltz HK; McVey AJ; Barrington A; Haendel AD; Dolan BK; Willar KS; Pleiss S; Karst JS; Vogt E; Murphy CC; Gonring K; Van Hecke AV
    Autism Res; 2018 Dec; 11(12):1653-1666. PubMed ID: 30475457
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Machine Learning-Based Blood RNA Signature for Diagnosis of Autism Spectrum Disorder.
    Voinsky I; Fridland OY; Aran A; Frye RE; Gurwitz D
    Int J Mol Sci; 2023 Jan; 24(3):. PubMed ID: 36768401
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine.
    Squarcina L; Nosari G; Marin R; Castellani U; Bellani M; Bonivento C; Fabbro F; Molteni M; Brambilla P
    Brain Behav; 2021 Aug; 11(8):e2238. PubMed ID: 34264004
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Atypical Pattern of Frontal EEG Asymmetry for Direct Gaze in Young Children with Autism Spectrum Disorder.
    Lauttia J; Helminen TM; Leppänen JM; Yrttiaho S; Eriksson K; Hietanen JK; Kylliäinen A
    J Autism Dev Disord; 2019 Sep; 49(9):3592-3601. PubMed ID: 31124026
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.