Evaluation and Analysis of the Intervention Effect of Systematic Parent Training Based on Computational Intelligence on Child Autism

Author:

He Xuejin12,Yu Yinzhen2,Ouyang Yanqiong1ORCID

Affiliation:

1. The Wuhan University School of Nursing, Wuhan, Hubei 430000, China

2. Tongji Hospital Affiliated to Tongji Medical College HUST, Wuhan, Hubei 430000, China

Abstract

Autism, also known as pervasive developmental disorder or autism spectrum disorder, is a group of clinical syndromes of developmental delay or impairment. Social impairment, verbal communication impairment, and behavioral impairment are the three conditions for the diagnosis of autism spectrum disorder, according to the American Psychiatric Association’s Diagnostic and Statistical Manual. According to relevant statistics, about 1 in 100 children is now diagnosed with autism, and their rehabilitation treatment is also valued by people from all walks of life. In the rehabilitation training of autistic children, it is found that the rehabilitation training of autistic children should pay attention to the role of parents and family environment. It is crucial that parents receive systematic training and act as partners in the development of the intervention plan. Research shows that a specific structured education and skills training program for parents of children with autism can be beneficial in improving behavioral problems, functional communication, and symptoms of autism in children with autism. To this end, this paper has completed the following work: Secondly, a portion of the systematic training of CA parents is discussed, followed by an explanation of the structure and principles of BPNN. Finally, the BPNN is utilized to create a model for assessing the impact of systematic parent instruction on CA. The experimental findings suggest that the proposed BPNN outperforms the competition.

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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