Involving artificial Intelligence in the assessment and diagnosis of Autism Spectrum Disorder

dc.contributor.author	HAMIDA, Marwa
dc.contributor.author	HAMADI, Amira
dc.contributor.author	BAKHADDA, Abderrahmane
dc.date.accessioned	2025-11-06T10:41:14Z
dc.date.available	2025-11-06T10:41:14Z
dc.date.issued	2024
dc.identifier.uri	http://e-biblio.univ-mosta.dz/handle/123456789/29864
dc.description.abstract	This study used advanced artificial intelligence techniques, such as deep neural networks and natural language processing, to develop a comprehensive tool for accurately and efficiently assessing and diagnosing autism spectrum disorders. Deep learning models such as BERT and LSTM have proven their ability to improve the accuracy of autism diagnosis and assessment, helping to improve the quality of life of those affected.	en_US
dc.language.iso	en	en_US
dc.relation.ispartofseries	MINF441;
dc.subject	Machine learning	en_US
dc.subject	Deep Learning	en_US
dc.subject	Artificial intelligence	en_US
dc.subject	Autism Spectrum Disorder	en_US
dc.subject	Natural language processing	en_US
dc.subject	BERT	en_US
dc.subject	LSTM--Long-short term memory	en_US
dc.title	Involving artificial Intelligence in the assessment and diagnosis of Autism Spectrum Disorder	en_US
dc.type	Other	en_US