Autism Spectrum Disorder Identification Using Polynomial Distribution based Convolutional Neural Network

Volume 19 No 2 (2021)

G. Nagarajan , Dr.A. Mahabub Basha , R. Poornima

DOI: 10.14704/nq.2021.19.2.NQ21013

Abstract

One main psychiatric disorder found in humans is ASD (Autistic Spectrum Disorder). The disease manifests in a mental disorder that restricts humans from communications, language, speech in terms of their individual abilities. Even though its cure is complex and literally impossible, its early detection is required for mitigating its intensity. ASD does not have a pre-defined age for affecting humans. A system for effectively predicting ASD based on MLTs (Machine Learning Techniques) is proposed in this work

Keywords

Autistic Spectrum Disorder (ASD), Modified Chicken Swarm Optimization (MCSO) Algorithm, Polynomial Distribution based Convolutional Neural Network (PDCNN)

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