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Citing this Article

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Published on 24.04.18 in Vol 20, No 4 (2018): April

This paper is in the following e-collection/theme issue:

Works citing "Risk Assessment for Parents Who Suspect Their Child Has Autism Spectrum Disorder: Machine Learning Approach"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9496):

(note that this is only a small subset of citations)

  1. Bokobza C, Van Steenwinckel J, Mani S, Mezger V, Fleiss B, Gressens P. Neuroinflammation in preterm babies and autism spectrum disorders. Pediatric Research 2019;85(2):155
    CrossRef
  2. Barbaro J, Yaari M. Study protocol for an evaluation of ASDetect - a Mobile application for the early detection of autism. BMC Pediatrics 2020;20(1)
    CrossRef
  3. McCarty P, Frye RE. Early Detection and Diagnosis of Autism Spectrum Disorder: Why Is It So Difficult?. Seminars in Pediatric Neurology 2020;35:100831
    CrossRef
  4. Sadilek A, Hswen Y, Bavadekar S, Shekel T, Brownstein JS, Gabrilovich E. Lymelight: forecasting Lyme disease risk using web search data. npj Digital Medicine 2020;3(1)
    CrossRef
  5. Washington P, Kalantarian H, Tariq Q, Schwartz J, Dunlap K, Chrisman B, Varma M, Ning M, Kline A, Stockham N, Paskov K, Voss C, Haber N, Wall DP. Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks. Journal of Medical Internet Research 2019;21(5):e13668
    CrossRef
  6. Dahiya AV, DeLucia E, McDonnell CG, Scarpa A. A systematic review of technological approaches for autism spectrum disorder assessment in children: Implications for the COVID-19 pandemic. Research in Developmental Disabilities 2021;109:103852
    CrossRef
  7. Desideri L, Pérez-Fuster P, Herrera G. Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review. Children 2021;8(2):93
    CrossRef
  8. Wang H, Avillach P. Diagnostic Classification and Prognostic Prediction Using Common Genetic Variants in Autism Spectrum Disorder: Genotype-Based Deep Learning. JMIR Medical Informatics 2021;9(4):e24754
    CrossRef
  9. . The preschool teacher’s assumptions about a child’s ability or disability: finding a pedagogical password for inclusion. Early Years 2023;43(1):197
    CrossRef
  10. Albahri AS, Zaidan AA, AlSattar HA, Hamid RA, Albahri OS, Qahtan S, Alamoodi AH. Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy‐weighted zero‐inconsistency method. Computational Intelligence 2023;39(2):225
    CrossRef
  11. Kohli M, Kar AK, Sinha S. The Role of Intelligent Technologies in Early Detection of Autism Spectrum Disorder (ASD): A Scoping Review. IEEE Access 2022;10:104887
    CrossRef
  12. Boch S, Hussain S, Bambach S, DeShetler C, Chisolm D, Linwood S. Locating Youth Exposed to Parental Justice Involvement in the Electronic Health Record: Development of a Natural Language Processing Model. JMIR Pediatrics and Parenting 2022;5(1):e33614
    CrossRef
  13. Dwyer D, Koutsouleris N. Annual Research Review: Translational machine learning for child and adolescent psychiatry. Journal of Child Psychology and Psychiatry 2022;63(4):421
    CrossRef
  14. Abbasgholizadeh Rahimi S, Légaré F, Sharma G, Archambault P, Zomahoun HTV, Chandavong S, Rheault N, T Wong S, Langlois L, Couturier Y, Salmeron JL, Gagnon M, Légaré J. Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal. Journal of Medical Internet Research 2021;23(9):e29839
    CrossRef
  15. Albahri AS, Hamid RA, Zaidan AA, Albahri OS. Early automated prediction model for the diagnosis and detection of children with autism spectrum disorders based on effective sociodemographic and family characteristic features. Neural Computing and Applications 2023;35(1):921
    CrossRef
  16. deLeyer‐Tiarks JM, Li MG, Levine‐Schmitt M, Andrade B, Bray MA, Peters E. Advancing autism technology. Psychology in the Schools 2023;60(2):495
    CrossRef
  17. Gale-Grant O, Chew A, Falconer S, França LGS, Fenn-Moltu S, Hadaya L, Harper N, Ciarrusta J, Charman T, Murphy D, Arichi T, McAlonan G, Nosarti C, Edwards AD, Batalle D. Clinical, socio-demographic, and parental correlates of early autism traits in a community cohort of toddlers. Scientific Reports 2024;14(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9496):

  1. . Neural Engineering Techniques for Autism Spectrum Disorder. 2021. :1
    CrossRef
  2. Dahiya AV, Bertollo JR, McDonnell CG, Scarpa A. Neural Engineering Techniques for Autism Spectrum Disorder, Volume 2. 2023. :3
    CrossRef