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

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Bibliografski detalji
Izdano u:	PLoS One vol. 19, no. 9 (Sep 2024), p. e0311209
Glavni autor:	Kato, Sumi
Daljnji autori:	Hanawa, Kazuaki, Saito, Manabu, Nakamura, Kazuhiko
Izdano:	Public Library of Science
Teme:	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
Online pristup:	Citation/Abstract Full Text Full Text - PDF
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