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A machine learning-based diagnostic model for children with autism spectrum disorders complicated with intellectual disability.
Song, Chao; Jiang, Zhong-Quan; Hu, Li-Fei; Li, Wen-Hao; Liu, Xiao-Lin; Wang, Yan-Yan; Jin, Wen-Yuan; Zhu, Zhi-Wei.
Afiliação
  • Song C; Department of Developmental and Behavioral Pediatrics, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Centre for Child Health, Hangzhou, China.
  • Jiang ZQ; School of Public Health, Lanzhou University, Lanzhou, China.
  • Hu LF; Department of Developmental and Behavioral Pediatrics, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Centre for Child Health, Hangzhou, China.
  • Li WH; Department of Developmental and Behavioral Pediatrics, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Centre for Child Health, Hangzhou, China.
  • Liu XL; Department of Developmental and Behavioral Pediatrics, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Centre for Child Health, Hangzhou, China.
  • Wang YY; Department of Developmental and Behavioral Pediatrics, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Centre for Child Health, Hangzhou, China.
  • Jin WY; Department of Developmental and Behavioral Pediatrics, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Centre for Child Health, Hangzhou, China.
  • Zhu ZW; Department of Developmental and Behavioral Pediatrics, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Centre for Child Health, Hangzhou, China.
Front Psychiatry ; 13: 993077, 2022.
Article em En | MEDLINE | ID: mdl-36213933
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article