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Journal Abstract Search

151 related items for PubMed ID: 38346053

  • 1. 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; 19(2):e0282818. PubMed ID: 38346053
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  • 2. 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
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  • 3. 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 26; 63(1):e22. PubMed ID: 32100657
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  • 4. [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
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  • 9. 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
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  • 11. Development and Validation of Objective and Quantitative Eye Tracking-Based Measures of Autism Risk and Symptom Levels.
    Frazier TW, Klingemier EW, Parikh S, Speer L, Strauss MS, Eng C, Hardan AY, Youngstrom EA.
    J Am Acad Child Adolesc Psychiatry; 2018 Nov 26; 57(11):858-866. PubMed ID: 30392627
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  • 12. 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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  • 18. 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
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  • 19. A new computational intelligence approach to detect autistic features for autism screening.
    Thabtah F, Kamalov F, Rajab K.
    Int J Med Inform; 2018 Sep 01; 117():112-124. PubMed ID: 30032959
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  • 20. 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 01; 173():69-81. PubMed ID: 35007668
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