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The classification of autism spectrum disorder by machine learning methods on multiple datasets for four age groups

  • Published:2023-06 Issue: Volume:27 Page:100774
  • ISSN:2665-9174
  • Container-title:Measurement: Sensors
  • language:en
  • Short-container-title:Measurement: Sensors

Author:

Khudhur Dhuha Dheyaa,Khudhur Saja Dheyaa

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference39 articles.

1. The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data;Kang;Comput. Biol. Med.,2020

2. Machine learning: the new language for applications;Padala;IAES Int. J. Artif. Intell.,2019

3. Machine learning classifiers for autism spectrum disorder: a review;Eman,2019

4. A machine learning autism classification based on logistic regression analysis;Thabtah;Health Inf. Sci. Syst.,2019

5. Detecting and classifying self-injurious behavior in autism spectrum disorder using machine learning techniques;Cantin-Garside;J. Autism Dev. Disord.,2020

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Efficient Autism Spectrum Disorder Classification in Different Age Groups using Machine Learning Models;International Journal of Online and Biomedical Engineering (iJOE);2024-06-20

2. Neural Networks Unveiling Autism: Deep Learning Approaches for Spectrum Detection;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

3. Autistic recognition from EEG signals by extracted features from several time series models;2024-02-07

4. Intelligent Diagnosis of Autism Spectrum Disorder: Harnessing Machine Learning for Enhanced Early Detection;Lecture Notes in Networks and Systems;2024

5. Comparative Performance Analysis of Logistic Regression and Artificial Neural Network in Autism Spectrum Disorder Detection;2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM);2023-12-18
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