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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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| Publicado no: | Eur Psychiatry |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Cambridge University Press
2020
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| Assuntos: | |
| Acesso em linha: | 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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