A framework for characterizing heterogeneity in neurodevelopmental data using latent profile analysis in a sample of children with ADHD.

Published in: Journal of neurodevelopmental disorders (2022)

Our approach, which emphasizes theoretical as well as empirical evaluation of mixture models, could make these models more accessible to clinical researchers and may be a useful approach to parsing heterogeneity in neurodevelopmental disorders.

Keyphrases

single cell
attention deficit hyperactivity disorder
young adults
autism spectrum disorder
working memory
electronic health record
congenital heart disease
data analysis
deep learning