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Machine Learning to Infer Neurocognitive Testing Scores Among Adolescents and Young Adults with Congenital Heart Disease

2025-06-06

Abstract excerpt

<title>Abstract</title> <p>Congenital heart disease (CHD) affects approximately 1% of newborns and is associated with an increased risk for neurodevelopmental impairments. Identification and characterization of the factors affecting neurocognitive outcomes in adolescents and young adults (AYAs) with CHD remains an important area of research. We have integrated demographic, parental, socioeconomic, genetic, and br...

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Literature Corpus work
0534ebb2-edb5-5842-adeb-46e2277091c0
DOI
10.21203/rs.3.rs-6787532/v1
Open publication

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Machine Learning to Infer Neurocognitive Testing Scores Among Adolescents and Young Adults with Congenital Heart DiseaseDOI 10.21203/rs.3.rs-6787532/v1
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