Early automated prediction model for the diagnosis and detection of children with autism spectrum disorders based on effective sociodemographic and family characteristic features-Reference-Cited by-同舟云学术

Early automated prediction model for the diagnosis and detection of children with autism spectrum disorders based on effective sociodemographic and family characteristic features

Published:2022-09-24 Issue:1 Volume:35 Page:921-947
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Albahri A. S.,Hamid Rula A.,Zaidan A. A.,Albahri O. S.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-07822-0.pdf

Reference170 articles.

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2. Mottron L, Bzdok D (2020) Autism spectrum heterogeneity: fact or artifact? Mol Psychiatry 25(12):3178–3185. https://doi.org/10.1038/s41380-020-0748-y

3. Manzouri L, Yousefian S, Keshtkari A, Hashemi N (2019) Advanced parental age and risk of positive autism spectrum disorders screening. Int J Prev Med 10(1):66. https://doi.org/10.4103/ijpvm.IJPVM-25-19

4. Wang M (2019) Editorial for the special issue ‘Autism and inclusive education research and practice in the Asia-Pacific region.’ Int J Dev Disabil 65(5):315–318. https://doi.org/10.1080/20473869.2019.1658402

5. So WC et al (2020) A robot-based play-drama intervention may improve the joint attention and functional play behaviors of chinese-speaking preschoolers with autism spectrum disorder: a pilot study. J Autism Dev Disord 50(2):467–481. https://doi.org/10.1007/s10803-019-04270-z

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