Machine Learning-Based Classification of Autism Spectrum Disorder across Age Groups
- Title
- Machine Learning-Based Classification of Autism Spectrum Disorder across Age Groups
- Creator
- Reghunathan R.K.; Venkidusamy P.N.P.; Kurup R.G.; George B.; Thomas N.
- Description
- Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition that has gained significant attention in recent years due to its increasing prevalence and profound impact on individuals, families, and society as a whole. In this study, we explore the use of different machine learning classifiers for the accurate detection of ASD in children, adolescents, and adults. Furthermore, we conduct feature reduction to identify key features contributing to ASD classification within each age group using Cuckoo Search Algorithm. Logistic Regression has the highest accuracy compared to the other two models. 2024 by the authors.
- Source
- Engineering Proceedings, Vol-62, No. 1
- Date
- 2024-01-01
- Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
- Subject
- Autism Spectrum Disorder; classifiers; cuckoo search; machine learning
- Coverage
- Reghunathan R.K., Department of Computer Science, CHRIST University, Bengaluru, 560029, India; Venkidusamy P.N.P., Department of Computer Science, CHRIST University, Bengaluru, 560029, India; Kurup R.G., Department of Computer Science, CHRIST University, Bengaluru, 560029, India; George B., Department of Computer Science, Nirmala College Muvattupuzha, Muvattupuzha, 686661, India; Thomas N., Department of Computer Science, Santhigiri College, Vazhithala, Thodupuzha, 685583, India
- Rights
- All Open Access; Hybrid Gold Open Access
- Relation
- ISSN: 26734591
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Reghunathan R.K.; Venkidusamy P.N.P.; Kurup R.G.; George B.; Thomas N., “Machine Learning-Based Classification of Autism Spectrum Disorder across Age Groups,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/13586.