Autism Spectrum Disorder Risk Gene Prediction Using Improved Salp Swarm Algorithm and Enhanced Convolution Neural Network Algorithm

Volume 19 No 9 (2021)

Dr.J. Anitha

DOI: 10.14704/nq.2021.19.9.NQ21142

Abstract

A group of Neuro developmental disorders is Autism Spectrum Disorder (ASD) which is characterized by communication skills and social interaction difficulties. In past few years, there is a rapid increase in ASD and its root symptom’s cause is not yet determined. Comparatively large effort is needed in the existing system using Bayes network and there is no universally accepted technique to construct a network from data. An Enhanced Convolution Neural Network (ECNN) and Improved Salp Swarm Algorithm (ISSA) is proposed to solve these issues and for effective ASD classification

Keywords

Autism Spectrum Disorder (ASD), Gene Selection, Improved Salp Swarm Algorithm (ISSA), Classification, Enhanced Convolution Neural Network (ECNN).

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