A comparative assessment of most widely used machine learning classifiers for analysing and classifying autism spectrum disorder in toddlers and adolescents

A comparative assessment of most widely used machine learning classifiers for analysing and classifying autism spectrum disorder in toddlers and adolescents

Individuals with autism spectrum disorder (ASD) have social interaction and communication challenges due to a disruption in brain development that impacts how they perceive and interact with others. The symptoms of autism often present themselves within the first two years of a persons life but can...

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Bibliographic Details
Main Authors: Jyotismita Talukdar, Deba Kanta Gogoi, Thipendra P. Singh
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Healthcare Analytics
Subjects:
Autism spectrum disorder
Machine learning
Naive Bayes
Logistic Regression
Support Vector Machine
Random Forest
Online Access:http://www.sciencedirect.com/science/article/pii/S277244252300045X

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http://www.sciencedirect.com/science/article/pii/S277244252300045X

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