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Journal Abstract Search

170 related items for PubMed ID: 38436312

  • 1. [Machine learning algorithms for identifying autism spectrum disorder through eye-tracking in different intention videos].
    Cheng R, Zhao Z, Hou WW, Zhou G, Liao HT, Zhang X, Li J.
    Zhongguo Dang Dai Er Ke Za Zhi; 2024 Feb 15; 26(2):151-157. PubMed ID: 38436312
    [Abstract] [Full Text] [Related]

  • 2. Classification of Children With Autism and Typical Development Using Eye-Tracking Data From Face-to-Face Conversations: Machine Learning Model Development and Performance Evaluation.
    Zhao Z, Tang H, Zhang X, Qu X, Hu X, Lu J.
    J Med Internet Res; 2021 Aug 26; 23(8):e29328. PubMed ID: 34435957
    [Abstract] [Full Text] [Related]

  • 3. Early identification of autism spectrum disorder based on machine learning with eye-tracking data.
    Wei Q, Dong W, Yu D, Wang K, Yang T, Xiao Y, Long D, Xiong H, Chen J, Xu X, Li T.
    J Affect Disord; 2024 Aug 01; 358():326-334. PubMed ID: 38615846
    [Abstract] [Full Text] [Related]

  • 4. 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 01; 137():104254. PubMed ID: 36509416
    [Abstract] [Full Text] [Related]

  • 5. Mobile detection of autism through machine learning on home video: A development and prospective validation study.
    Tariq Q, Daniels J, Schwartz JN, Washington P, Kalantarian H, Wall DP.
    PLoS Med; 2018 Nov 01; 15(11):e1002705. PubMed ID: 30481180
    [Abstract] [Full Text] [Related]

  • 6. Automatic classification of children with autism spectrum disorder by using a computerized visual-orienting task.
    He Q, Wang Q, Wu Y, Yi L, Wei K.
    Psych J; 2021 Aug 01; 10(4):550-565. PubMed ID: 33847077
    [Abstract] [Full Text] [Related]

  • 7. Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study.
    Tariq Q, Fleming SL, Schwartz JN, Dunlap K, Corbin C, Washington P, Kalantarian H, Khan NZ, Darmstadt GL, Wall DP.
    J Med Internet Res; 2019 Apr 24; 21(4):e13822. PubMed ID: 31017583
    [Abstract] [Full Text] [Related]

  • 8. Joint intention understanding in children with autism spectrum disorder.
    Hou W, Li X, Yang Y, Li J.
    Autism Res; 2023 Sep 24; 16(9):1707-1718. PubMed ID: 37283253
    [Abstract] [Full Text] [Related]

  • 9. The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data.
    Kang J, Han X, Song J, Niu Z, Li X.
    Comput Biol Med; 2020 May 24; 120():103722. PubMed ID: 32250854
    [Abstract] [Full Text] [Related]

  • 10. 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 24; 81():54-60. PubMed ID: 33222968
    [Abstract] [Full Text] [Related]

  • 11. Eye gaze as a biomarker in the recognition of autism spectrum disorder using virtual reality and machine learning: A proof of concept for diagnosis.
    Alcañiz M, Chicchi-Giglioli IA, Carrasco-Ribelles LA, Marín-Morales J, Minissi ME, Teruel-García G, Sirera M, Abad L.
    Autism Res; 2022 Jan 24; 15(1):131-145. PubMed ID: 34811930
    [Abstract] [Full Text] [Related]

  • 12. Machine learning-based early diagnosis of autism according to eye movements of real and artificial faces scanning.
    Meng F, Li F, Wu S, Yang T, Xiao Z, Zhang Y, Liu Z, Lu J, Luo X.
    Front Neurosci; 2023 Jan 24; 17():1170951. PubMed ID: 37795184
    [Abstract] [Full Text] [Related]

  • 13. Applying Eye Tracking to Identify Autism Spectrum Disorder in Children.
    Wan G, Kong X, Sun B, Yu S, Tu Y, Park J, Lang C, Koh M, Wei Z, Feng Z, Lin Y, Kong J.
    J Autism Dev Disord; 2019 Jan 24; 49(1):209-215. PubMed ID: 30097760
    [Abstract] [Full Text] [Related]

  • 14. Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children.
    Vargas-Cuentas NI, Roman-Gonzalez A, Gilman RH, Barrientos F, Ting J, Hidalgo D, Jensen K, Zimic M.
    PLoS One; 2017 Jan 24; 12(11):e0188826. PubMed ID: 29190703
    [Abstract] [Full Text] [Related]

  • 15. Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework.
    Liu W, Li M, Yi L.
    Autism Res; 2016 Aug 24; 9(8):888-98. PubMed ID: 27037971
    [Abstract] [Full Text] [Related]

  • 16. Eye-tracking correlates of response to joint attention in preschool children with autism spectrum disorder.
    de Belen RA, Pincham H, Hodge A, Silove N, Sowmya A, Bednarz T, Eapen V.
    BMC Psychiatry; 2023 Mar 29; 23(1):211. PubMed ID: 36991383
    [Abstract] [Full Text] [Related]

  • 17. Development of a Machine Learning Algorithm for the Surveillance of Autism Spectrum Disorder.
    Maenner MJ, Yeargin-Allsopp M, Van Naarden Braun K, Christensen DL, Schieve LA.
    PLoS One; 2016 Mar 29; 11(12):e0168224. PubMed ID: 28002438
    [Abstract] [Full Text] [Related]

  • 18. Identifying Autism with Head Movement Features by Implementing Machine Learning Algorithms.
    Zhao Z, Zhu Z, Zhang X, Tang H, Xing J, Hu X, Lu J, Qu X.
    J Autism Dev Disord; 2022 Jul 29; 52(7):3038-3049. PubMed ID: 34250557
    [Abstract] [Full Text] [Related]

  • 19. Development of a visual attention based decision support system for autism spectrum disorder screening.
    Ozdemir S, Akin-Bulbul I, Kok I, Ozdemir S.
    Int J Psychophysiol; 2022 Mar 29; 173():69-81. PubMed ID: 35007668
    [Abstract] [Full Text] [Related]

  • 20. Using visual attention estimation on videos for automated prediction of autism spectrum disorder and symptom severity in preschool children.
    de Belen RAJ, Eapen V, Bednarz T, Sowmya A.
    PLoS One; 2024 Mar 29; 19(2):e0282818. PubMed ID: 38346053
    [Abstract] [Full Text] [Related]

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