System Assisted Vocal Response Analysis and Assessment of Autism in Children: A Machine Learning Based Approach
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48309-7_41
Reference22 articles.
1. Zeidan, J., Fombonne, E., Scorah, J., et al.: Global prevalence of autism: a systematic review update. Autism Res. 15, 778–790 (2022). https://doi.org/10.1002/aur.2696
2. Chauhan, A., Sahu, J.K., Jaiswal, N., et al.: Prevalence of autism spectrum disorder in Indian children: a systematic review and meta-analysis. Neurol. India 67, 100 (2019)
3. Chlebowski, C., Green, J.A., Barton, M.L., Fein, D.: Using the childhood autism rating scale to diagnose autism spectrum disorders. J. Autism Dev. Disord. 40, 787–799 (2010). https://doi.org/10.1007/s10803-009-0926-x
4. Juneja, M., Mishra, D., Russell, P.S.S., et al.: INCLEN diagnostic tool for autism spectrum disorder (INDT-ASD): development and validation. Indian Pediatr. 51, 359–365 (2014). https://doi.org/10.1007/s13312-014-0417-9
5. Akshoomoff, N., Corsello, C., Schmidt, H.: The role of the autism diagnostic observation schedule in the assessment of autism spectrum disorders in school and community settings. Calif. Sch. Psychol. 11, 7–19 (2006). https://doi.org/10.1007/BF03341111
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