Creating a diagnostic assessment model for autism spectrum disorder by differentiating lexicogrammatical choices through machine learning

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Pubblicato in:	PLoS One vol. 19, no. 9 (Sep 2024), p. e0311209
Autore principale:	Kato, Sumi
Altri autori:	Hanawa, Kazuaki, Saito, Manabu, Nakamura, Kazuhiko
Pubblicazione:	Public Library of Science
Soggetti:	Interviews Language Diagnostic tests Adolescents Syntax Language patterns Communication Autism Grammar lexicon relationship Machine learning Text analysis Phonology Cognition & reasoning Learning algorithms Heterogeneity Linguistics Accuracy Texts Corpus analysis Tags Natural language processing Effectiveness Adults Caregivers Executive function Semantics Medical diagnosis Autistic adolescents Multidimensional approach Language usage Textual analysis Spoken language Social
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