Analysis of Autism Spectrum Disorder in Children with the Prepared Dataset: A Machine Learning Approach for Prediction

7 Pages Posted: 2 Dec 2020

Date Written: November 21, 2020

Abstract

Right now Autism Spectrum Disorder (ASD) is at fastest pace in these days quicker than any other times. Regardless of the way that number of studies have been taken using different procedures, no particular study have stated the purposes behind the Autism. It is the “spectrum” disorder which of the fact that is wide in the sort and seriousness of the side effects to the individuals who experience this. Autism might occur any ethnic, racial and monetary related social gatherings. Disregarding the fact that autism spectrum disorder might be a profound established issue, yet the physical and mental treatments, medications, organizations can improve a person’s manifestations and capacity. Our work primarily focuses around the expectation of the medically introverted kids who are underneath 4 years. SVM Support Vector Machine is utilized for the order of the dataset to anticipate the autism spectrum disorder in children and to say the specific stage the kid is in.

Keywords: SVM; ASD; machine learning; Linear Discriminant Analysis; K-Nearest Neighbour (KNN)

Suggested Citation

Ramya, Paruchuri and Geetha, Guttikonda and Raj, Vattikuti NagaPrudhvi, Analysis of Autism Spectrum Disorder in Children with the Prepared Dataset: A Machine Learning Approach for Prediction (November 21, 2020). Proceedings of the 2nd International Conference on IoT, Social, Mobile, Analytics & Cloud in Computational Vision & Bio-Engineering (ISMAC-CVB 2020), Available at SSRN: https://ssrn.com/abstract=3734788 or http://dx.doi.org/10.2139/ssrn.3734788

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