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
Autores principales: Rahman, Rayees, Kodesh, Arad, Levine, Stephen Z., Sandin, Sven, Reichenberg, Abraham, Schlessinger, Avner
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315872/
https://www.ncbi.nlm.nih.gov/pubmed/32100657
http://dx.doi.org/10.1192/j.eurpsy.2020.17

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315872/
https://www.ncbi.nlm.nih.gov/pubmed/32100657
http://dx.doi.org/10.1192/j.eurpsy.2020.17

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