Your browser doesn't support javascript.
loading
Enhancing early autism prediction based on electronic records using clinical narratives.
Chen, Junya; Engelhard, Matthew; Henao, Ricardo; Berchuck, Samuel; Eichner, Brian; Perrin, Eliana M; Sapiro, Guillermo; Dawson, Geraldine.
Afiliación
  • Chen J; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States. Electronic address: junya.chen@duke.edu.
  • Engelhard M; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States.
  • Henao R; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States.
  • Berchuck S; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States.
  • Eichner B; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States.
  • Perrin EM; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States.
  • Sapiro G; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States.
  • Dawson G; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27705, United States.
J Biomed Inform ; 144: 104390, 2023 08.
Article en En | MEDLINE | ID: mdl-37182592
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Trastorno Autístico / Registros Electrónicos de Salud Tipo de estudio: Diagnostic_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Child / Child, preschool / Humans / Infant Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Trastorno Autístico / Registros Electrónicos de Salud Tipo de estudio: Diagnostic_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Child / Child, preschool / Humans / Infant Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article