A Review on Diagnostic of Autism Spectrum Disorder Based on the Machine Learning Approaches

Document Type : Primary Research paper

Authors

1 Research Scholar, Department of Computer Science, Bishop Heber College, Affiliated to Bharathidasan University, Tiruchirappalli-620017.

2 Assistant Professor, Department of Computer Science, Bishop Heber College, Affiliated to Bharathidasan University, Tiruchirappalli-620017.

Abstract

Autism Spectrum Disorder is a disorder associated with genetic and neurological component with a lifelong effect on communication and interaction with others. Autism Spectrum Disorders children have some disturbance activities. Understanding their necessities is one of the most challenging tasks for caregivers. The classification algorithms helps to diagnose and improve the children’s lives by applying the Machine Learning techniques. This paper provides a systematic review of the Autism Spectrum Disorder approaches in the context of Data Mining. The central goal of this review is to recognize the important research trends in the field of Autism Spectrum Disorder. The analysis classification methods for Autism Spectrum Disorder approaches is provided based on evaluation metrics such as Accuracy and Sensitivity.

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Int. J. of Aquatic Science
Volume 12, Issue 2 - Serial Number 2
June 2021
Pages 3294-3303

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