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

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書誌詳細
出版年:	PLoS One vol. 19, no. 9 (Sep 2024), p. e0311209
第一著者:	Kato, Sumi
その他の著者:	Hanawa, Kazuaki, Saito, Manabu, Nakamura, Kazuhiko
出版事項:	Public Library of Science
主題:	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
オンライン･アクセス:	Citation/Abstract Full Text Full Text - PDF
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