UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 3
March-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2203418


Registration ID:
321589

Page Number

e137-e140

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Title

Prediction of Autism Spectrum Disorder using Various Machine Learning Techniques

Abstract

Autism spectrum disorder (ASD) is an unusual developmental and behavioral condition that directly impacts the way of life of a human in terms of his mental and physical wellbeing. It restricts the use of interactional, behavioral - cognitive abilities as well as qualities of the directly affected identity and although its signs might very well differ from person to person. Artificial intelligence’s subset, machine learning is implemented to diagnose ASD using various classification techniques in which prediction methods were developed based on chronological data source, and also used those information to predict that the person who suffers ASD before or not. Also it can be used mostly for making decisions under ambiguity. On ASD dataset eight machine learning were build, among these Artificial Neural Network give very good accuracy 99% and the lease accuracy 42% was achieved by Quadratic Discriminant Analysis, other six classification models are Decision Tree Classifier, K Neighbors Classifier, Multinomial NB, Logistic Regression, Linear Discriminate Analysis and Random Forest Classifier.

Key Words

Autism, ASD, Random Forest, Logistic Regression, Decision Tree Classifier

Cite This Article

"Prediction of Autism Spectrum Disorder using Various Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.e137-e140, March-2022, Available :http://www.jetir.org/papers/JETIR2203418.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Prediction of Autism Spectrum Disorder using Various Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppe137-e140, March-2022, Available at : http://www.jetir.org/papers/JETIR2203418.pdf

Publication Details

Published Paper ID: JETIR2203418
Registration ID: 321589
Published In: Volume 9 | Issue 3 | Year March-2022
DOI (Digital Object Identifier):
Page No: e137-e140
Country: Bengaluru, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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