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Journal Abstract Search
182 related items for PubMed ID: 31017583
21. 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; 81():54-60. PubMed ID: 33222968 [Abstract] [Full Text] [Related]
23. Prediction of Autism at 3 Years from Behavioural and Developmental Measures in High-Risk Infants: A Longitudinal Cross-Domain Classifier Analysis. Bussu G, Jones EJH, Charman T, Johnson MH, Buitelaar JK, BASIS Team. J Autism Dev Disord; 2018 Jul; 48(7):2418-2433. PubMed ID: 29453709 [Abstract] [Full Text] [Related]
24. Applying machine learning on home videos for remote autism diagnosis: Further study and analysis. Nabil MA, Akram A, Fathalla KM. Health Informatics J; 2021 Jul; 27(1):1460458221991882. PubMed ID: 33583277 [Abstract] [Full Text] [Related]
25. Automated Extraction of Diagnostic Criteria From Electronic Health Records for Autism Spectrum Disorders: Development, Evaluation, and Application. Leroy G, Gu Y, Pettygrove S, Galindo MK, Arora A, Kurzius-Spencer M. J Med Internet Res; 2018 Nov 07; 20(11):e10497. PubMed ID: 30404767 [Abstract] [Full Text] [Related]
26. Developmental delays assessed using the Enjoji Scale in children with cochlear implants who have intellectual disability with or without autism spectrum disorder. Motegi M, Inagaki A, Minakata T, Sekiya S, Takahashi M, Sekiya Y, Murakami S. Auris Nasus Larynx; 2019 Aug 07; 46(4):498-506. PubMed ID: 30579692 [Abstract] [Full Text] [Related]
27. Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods. Varma M, Washington P, Chrisman B, Kline A, Leblanc E, Paskov K, Stockham N, Jung JY, Sun MW, Wall DP. J Med Internet Res; 2022 Feb 15; 24(2):e31830. PubMed ID: 35166683 [Abstract] [Full Text] [Related]
28. 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 15; 9(8):888-98. PubMed ID: 27037971 [Abstract] [Full Text] [Related]
29. Caregiver object labels within supported and coordinated joint engagement during interaction with toddlers at elevated and typical likelihood of autism. Kushner EH, Britsch ER, Iverson JM. Int J Lang Commun Disord; 2023 May 15; 58(3):672-686. PubMed ID: 36424697 [Abstract] [Full Text] [Related]
30. 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 [Abstract] [Full Text] [Related]
31. Detecting autism from picture book narratives using deep neural utterance embeddings. Wawer A, Chojnicka I. Int J Lang Commun Disord; 2022 Sep 26; 57(5):948-962. PubMed ID: 35555933 [Abstract] [Full Text] [Related]
32. 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 26; 166():107539. PubMed ID: 37804778 [Abstract] [Full Text] [Related]
33. Screening for autism spectrum disorder in a naturalistic home setting using the systematic observation of red flags (SORF) at 18-24 months. Dow D, Day TN, Kutta TJ, Nottke C, Wetherby AM. Autism Res; 2020 Jan 26; 13(1):122-133. PubMed ID: 31643148 [Abstract] [Full Text] [Related]
34. The "MS-ROM/IFAST" Model, a Novel Parallel Nonlinear EEG Analysis Technique, Distinguishes ASD Subjects From Children Affected With Other Neuropsychiatric Disorders With High Degree of Accuracy. Grossi E, Buscema M, Della Torre F, Swatzyna RJ. Clin EEG Neurosci; 2019 Sep 26; 50(5):319-331. PubMed ID: 31296052 [Abstract] [Full Text] [Related]
35. Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2014. Baio J, Wiggins L, Christensen DL, Maenner MJ, Daniels J, Warren Z, Kurzius-Spencer M, Zahorodny W, Robinson Rosenberg C, White T, Durkin MS, Imm P, Nikolaou L, Yeargin-Allsopp M, Lee LC, Harrington R, Lopez M, Fitzgerald RT, Hewitt A, Pettygrove S, Constantino JN, Vehorn A, Shenouda J, Hall-Lande J, Van Naarden Braun K, Dowling NF. MMWR Surveill Summ; 2018 Apr 27; 67(6):1-23. PubMed ID: 29701730 [Abstract] [Full Text] [Related]
36. Prediction of autism spectrum disorder diagnosis using nonlinear measures of language-related EEG at 6 and 12 months. Peck FC, Gabard-Durnam LJ, Wilkinson CL, Bosl W, Tager-Flusberg H, Nelson CA. J Neurodev Disord; 2021 Nov 30; 13(1):57. PubMed ID: 34847887 [Abstract] [Full Text] [Related]
37. 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 30; 137():104254. PubMed ID: 36509416 [Abstract] [Full Text] [Related]
38. Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology. Asif M, Martiniano HFMCM, Vicente AM, Couto FM. PLoS One; 2018 Jan 30; 13(12):e0208626. PubMed ID: 30532199 [Abstract] [Full Text] [Related]
39. Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection. Colonnese F, Di Luzio F, Rosato A, Panella M. Int J Neural Syst; 2024 Feb 30; 34(2):2450005. PubMed ID: 38063381 [Abstract] [Full Text] [Related]
40. 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 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]