Detecting neurodevelopmental trajectories in congenital heart diseases with a machine-learning approach

Detecting neurodevelopmental trajectories in congenital heart diseases with a machine-learning approach

Abstract We aimed to delineate the neuropsychological and psychopathological profiles of children with congenital heart disease (CHD) and look for associations with clinical parameters. We conducted a prospective observational study in children with CHD who underwent cardiac surgery within five year...

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Autores principales: Elisa Cainelli, Patrizia S. Bisiacchi, Paola Cogo, Massimo Padalino, Manuela Simonato, Michela Vergine, Corrado Lanera, Luca Vedovelli
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/ea23eb02811e472ea079296f112a9258
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