Biblioteca Humberto Rosselli Quijano
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Autor Shoba S. Meera |
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Towards a data driven approach to screen for autism risk at 12 months of age / Shoba S. Meera en Journal of the American Academy of Child & Adolescent Psychiatry, Año 2021 - Vol. 60 - No.8 (Agosto)
[artículo]
Título : Towards a data driven approach to screen for autism risk at 12 months of age Tipo de documento: texto impreso Autores: Shoba S. Meera, Autor ; Kevin Donovan, Autor ; Jason J. Wolff, Autor Fecha de publicación: 2022 Artículo en la página: pp. 958-967 Idioma : Inglés (eng) Idioma original : Inglés (eng) Palabras clave: Pantalla, Trastorno del espectro autista, Alto riesgo, Primer año, Informe principal Resumen: This study aimed to develop a classifier for infants at 12 months of age based on a parent-report measure (the First Year Inventory 2.0 [FYI]), for the following reasons: (1) to classify infants at elevated risk, above and beyond that attributable to familial risk status for ASD; and (2) to serve as a starting point to refine an approach for risk estimation in population samples. Link: ./index.php?lvl=notice_display&id=28431
in Journal of the American Academy of Child & Adolescent Psychiatry > Año 2021 - Vol. 60 - No.8 (Agosto) . - pp. 958-967[artículo] Towards a data driven approach to screen for autism risk at 12 months of age [texto impreso] / Shoba S. Meera, Autor ; Kevin Donovan, Autor ; Jason J. Wolff, Autor . - 2022 . - pp. 958-967.
Idioma : Inglés (eng) Idioma original : Inglés (eng)
in Journal of the American Academy of Child & Adolescent Psychiatry > Año 2021 - Vol. 60 - No.8 (Agosto) . - pp. 958-967
Palabras clave: Pantalla, Trastorno del espectro autista, Alto riesgo, Primer año, Informe principal Resumen: This study aimed to develop a classifier for infants at 12 months of age based on a parent-report measure (the First Year Inventory 2.0 [FYI]), for the following reasons: (1) to classify infants at elevated risk, above and beyond that attributable to familial risk status for ASD; and (2) to serve as a starting point to refine an approach for risk estimation in population samples. Link: ./index.php?lvl=notice_display&id=28431