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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

560 related items for PubMed ID: 30481180

  • 21. Machine learning based on eye-tracking data to identify Autism Spectrum Disorder: A systematic review and meta-analysis.
    Wei Q, Cao H, Shi Y, Xu X, Li T.
    J Biomed Inform; 2023 Jan; 137():104254. PubMed ID: 36509416
    [Abstract] [Full Text] [Related]

  • 22. Phase 3 diagnostic evaluation of a smart tablet serious game to identify autism in 760 children 3-5 years old in Sweden and the United Kingdom.
    Millar L, McConnachie A, Minnis H, Wilson P, Thompson L, Anzulewicz A, Sobota K, Rowe P, Gillberg C, Delafield-Butt J.
    BMJ Open; 2019 Jul 16; 9(7):e026226. PubMed ID: 31315858
    [Abstract] [Full Text] [Related]

  • 23. A machine learning-based diagnostic model for children with autism spectrum disorders complicated with intellectual disability.
    Song C, Jiang ZQ, Hu LF, Li WH, Liu XL, Wang YY, Jin WY, Zhu ZW.
    Front Psychiatry; 2022 Jul 16; 13():993077. PubMed ID: 36213933
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  • 24. The study of the differences between low-functioning autistic children and typically developing children in the processing of the own-race and other-race faces by the machine learning approach.
    Kang J, Han X, Hu JF, Feng H, Li X.
    J Clin Neurosci; 2020 Nov 16; 81():54-60. PubMed ID: 33222968
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  • 26. The Role of Diffusion Tensor MR Imaging (DTI) of the Brain in Diagnosing Autism Spectrum Disorder: Promising Results.
    ElNakieb Y, Ali MT, Elnakib A, Shalaby A, Soliman A, Mahmoud A, Ghazal M, Barnes GN, El-Baz A.
    Sensors (Basel); 2021 Dec 07; 21(24):. PubMed ID: 34960265
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  • 29. Use of machine learning for behavioral distinction of autism and ADHD.
    Duda M, Ma R, Haber N, Wall DP.
    Transl Psychiatry; 2016 Feb 09; 6(2):e732. PubMed ID: 26859815
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  • 30. Detecting autism from picture book narratives using deep neural utterance embeddings.
    Wawer A, Chojnicka I.
    Int J Lang Commun Disord; 2022 Sep 09; 57(5):948-962. PubMed ID: 35555933
    [Abstract] [Full Text] [Related]

  • 31. Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study.
    Chi NA, Washington P, Kline A, Husic A, Hou C, He C, Dunlap K, Wall DP.
    JMIR Pediatr Parent; 2022 Apr 14; 5(2):e35406. PubMed ID: 35436234
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  • 32. Crowdsourced validation of a machine-learning classification system for autism and ADHD.
    Duda M, Haber N, Daniels J, Wall DP.
    Transl Psychiatry; 2017 May 16; 7(5):e1133. PubMed ID: 28509905
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  • 33. Toward the Autism Motor Signature: Gesture patterns during smart tablet gameplay identify children with autism.
    Anzulewicz A, Sobota K, Delafield-Butt JT.
    Sci Rep; 2016 Aug 24; 6():31107. PubMed ID: 27553971
    [Abstract] [Full Text] [Related]

  • 34. Multi-modular AI Approach to Streamline Autism Diagnosis in Young Children.
    Abbas H, Garberson F, Liu-Mayo S, Glover E, Wall DP.
    Sci Rep; 2020 Mar 19; 10(1):5014. PubMed ID: 32193406
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  • 35. Development and Validation of a Joint Attention-Based Deep Learning System for Detection and Symptom Severity Assessment of Autism Spectrum Disorder.
    Ko C, Lim JH, Hong J, Hong SB, Park YR.
    JAMA Netw Open; 2023 May 01; 6(5):e2315174. PubMed ID: 37227727
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  • 37. Validation of the phenomenon of autistic regression using home videotapes.
    Werner E, Dawson G.
    Arch Gen Psychiatry; 2005 Aug 01; 62(8):889-95. PubMed ID: 16061766
    [Abstract] [Full Text] [Related]

  • 38. Identifying autism using EEG: unleashing the power of feature selection and machine learning.
    Ranaut A, Khandnor P, Chand T.
    Biomed Phys Eng Express; 2024 Mar 19; 10(3):. PubMed ID: 38457850
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  • 39. Biosignal comparison for autism assessment using machine learning models and virtual reality.
    Minissi ME, Altozano A, Marín-Morales J, Chicchi Giglioli IA, Mantovani F, Alcañiz M.
    Comput Biol Med; 2024 Mar 19; 171():108194. PubMed ID: 38428095
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