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Recommendation Learning System Model for Children with Autism

V. Balaji*, S. Kanaga Suba Raja

Easwari Engineering College, Chennai, 600089, India

* Corresponding Author: V. Balaji. Email: email

Intelligent Automation & Soft Computing 2022, 31(2), 1301-1315. https://doi.org/10.32604/iasc.2022.020287

Abstract

Autism spectrum disorder (ASD), is a neurological developmental disorder. It affects how people communicate and interact with others, as well as how they behave and learn. The symptoms and signs appear when a child is very young. Derived with increased usage of machine learning procedure in the medicinal analysis investigations. In this paper, our objective is to find out the most significant attributes and automate the process using classification techniques and pattern clustering using K-means clustering. We have analyzed ASD datasets of children towards determining the best performance of classifier for these binary datasets considering recall, precision, accuracy and classification errors. For this purpose only we use classifier along with a training model with the deep learning technique. In this deep neural network the different types of patterns have been obtained, and then the entire autism dataset has been trained using this classification technique. After that, the group of patterns has been formed using K- means clustering technique. Then these grouped patterns have been sent to the stochastic gradient descent (SGD) for obtaining the classification with enhanced accuracy, and after this, the regression process is done, then by this classified output, the recommendation learning system model is given for autism affected children. The need for recommendation for ASD is due to slow functioning of the brain and change in personal characteristic of the affected children, so it is necessary for recommendation learning model in ASD.

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Cite This Article

APA Style
Balaji, V., Raja, S.K.S. (2022). Recommendation learning system model for children with autism. Intelligent Automation & Soft Computing, 31(2), 1301-1315. https://doi.org/10.32604/iasc.2022.020287
Vancouver Style
Balaji V, Raja SKS. Recommendation learning system model for children with autism. Intell Automat Soft Comput . 2022;31(2):1301-1315 https://doi.org/10.32604/iasc.2022.020287
IEEE Style
V. Balaji and S.K.S. Raja, "Recommendation Learning System Model for Children with Autism," Intell. Automat. Soft Comput. , vol. 31, no. 2, pp. 1301-1315. 2022. https://doi.org/10.32604/iasc.2022.020287



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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