A Novel Chaotic Binary Butterfly Optimization Algorithm based Feature Selection Model for Classification of Autism Spectrum Disorder

Autism spectrum disorder (ASD) issues formidable challenges in early diagnosis and intervention, requiring efficient methods for identification and treatment. By utilizing machine learning, the risk of ASD can be accurately and promptly evaluated, thereby optimizing the analysis and expediting treat...

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Vydané v:	International journal of applied mathematics and computer science Ročník 34; číslo 4; s. 647 - 660
Hlavní autori:	Ramakrishnan, Anandkumar, Ramalingam, Rajakumar, Ramalingam, Padmanaban, Ravi, Vinayakumar, Alahmadi, Tahani Jaser, Maidin, Siti Sarah
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Zielona Góra Sciendo 01.12.2024 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Predmet:	Algorithms Autism autism spectrum disorder Classification data classification Dimensional analysis Feature selection Machine learning metaheuristics Optimization Optimization algorithms
ISSN:	1641-876X, 2083-8492
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