Machine Learning Methods for the Timely Identification of Autism Spectrum Disorder in Toddlers-Reference-Cited by-同舟云学术

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Machine Learning Methods for the Timely Identification of Autism Spectrum Disorder in Toddlers

Published:2024-02-09 Issue: Volume: Page:515-520
ISSN:
Container-title:2024 International Conference on Emerging Systems and Intelligent Computing (ESIC)
language:
Short-container-title:

Author:

Jain Sweta¹,Tripathy Hrudaya Kumar²

Affiliation:

1. Shri Ramdeobaba College of Engineering and Management,Department of Computer science and Engineering,Nagpur,India

2. Kalinga Institute of Industrial Technology, Deemed to be University,School of Computer Engineering,Bhubaneswar,Odisha,India,751024

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10481518/10481530/10481550.pdf?arnumber=10481550

Reference18 articles.

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

2. Prediction and Analysis of Autism Spectrum Disorder Using Machine Learning Techniques

3. Evaluation of Autism Spectrum Disorder Based on the Healthcare by Using Artificial Intelligence Strategies

4. Rule Based Classifier for the Detection of Autism in Children

5. Autism Screening in Toddlers and Adults Using Deep Learning and Fair AI Techniques

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