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Relationship between quantitative digital behavioral features and clinical profiles in young autistic children.
Coffman, Marika; Di Martino, J Matias; Aiello, Rachel; Carpenter, Kimberly L H; Chang, Zhuoqing; Compton, Scott; Eichner, Brian; Espinosa, Steve; Flowers, Jacqueline; Franz, Lauren; Perochon, Sam; Krishnappa Babu, Pradeep Raj; Sapiro, Guillermo; Dawson, Geraldine.
Afiliação
  • Coffman M; Duke Center for Autism and Brain Development, Duke University, Durham, North Carolina, USA.
  • Di Martino JM; Department of Psychiatric and Behavioral Sciences, Duke University, Durham, North Carolina, USA.
  • Aiello R; Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA.
  • Carpenter KLH; Duke Center for Autism and Brain Development, Duke University, Durham, North Carolina, USA.
  • Chang Z; Department of Psychiatric and Behavioral Sciences, Duke University, Durham, North Carolina, USA.
  • Compton S; Duke Center for Autism and Brain Development, Duke University, Durham, North Carolina, USA.
  • Eichner B; Department of Psychiatric and Behavioral Sciences, Duke University, Durham, North Carolina, USA.
  • Espinosa S; Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA.
  • Flowers J; Duke Center for Autism and Brain Development, Duke University, Durham, North Carolina, USA.
  • Franz L; Department of Psychiatric and Behavioral Sciences, Duke University, Durham, North Carolina, USA.
  • Perochon S; Department of Pediatrics, Duke University, Durham, North Carolina, USA.
  • Krishnappa Babu PR; Office of Information Technology, Duke University, Durham, North Carolina, USA.
  • Sapiro G; Duke Center for Autism and Brain Development, Duke University, Durham, North Carolina, USA.
  • Dawson G; Department of Psychiatric and Behavioral Sciences, Duke University, Durham, North Carolina, USA.
Autism Res ; 16(7): 1360-1374, 2023 07.
Article em En | MEDLINE | ID: mdl-37259909
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Autístico / Transtorno do Espectro Autista Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Autism Res Assunto da revista: PSIQUIATRIA / TRANSTORNOS MENTAIS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Autístico / Transtorno do Espectro Autista Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Autism Res Assunto da revista: PSIQUIATRIA / TRANSTORNOS MENTAIS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos