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 years of age. At least 18 months after cardiac surgery, we performed an extensive neuropsychological (intelligence, language, attention, executive function, memory, social skills) and psychopathological assessment, implementing a machine-learning approach for clustering and influencing variable classification. We examined 74 children (37 with CHD and 37 age-matched controls). Group comparisons have shown differences in many domains: intelligence, language, executive skills, and memory. From CHD questionnaire

SUBMITTER: Cainelli E 

PROVIDER: S-EPMC7843636 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature