Identification of newborns at risk for autism using electronic medical records and machine learning

BACKGROUND. Current approaches for early identification of individuals at high risk for autism spectrum disorder (ASD) in the general population are limited, and most ASD patients are not identified until after the age of 4. This is despite substantial evidence suggesting that early diagnosis and in...

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Detalles Bibliográficos
Publicado en:Eur Psychiatry
Main Authors: Rahman, Rayees, Kodesh, Arad, Levine, Stephen Z., Sandin, Sven, Reichenberg, Abraham, Schlessinger, Avner
Formato: Artigo
Idioma:Inglês
Publicado: Cambridge University Press 2020
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Research Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7315872/
https://ncbi.nlm.nih.gov/pubmed/32100657
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1192/j.eurpsy.2020.17
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