Peer-Reviewed Publication
Nat Med2025;31(6):1840-1846.June 1, 2025Journal Article
Prediction of mental health risk in adolescents.
Elliot D Hill1,2, Pratik Kashyap3, Elizabeth Raffanello3, Yun Wang4, Terrie E Moffitt5,6,7, Avshalom Caspi5,6,7, Matthew Engelhard8,9, Jonathan Posner3
1Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA. elliot.d.hill@duke.edu.
2Duke AI Health, Duke University School of Medicine, Durham, NC, USA. elliot.d.hill@duke.edu.
3Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
4Department of Biomedical Informatics, Emory University, Atlanta, GA, USA.
5Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
6Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
7PROMENTA Center, University of Oslo, Oslo, Norway.
8Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
9Duke AI Health, Duke University School of Medicine, Durham, NC, USA.
Abstract
Prospective prediction of mental health risk in adolescence can facilitate early preventive interventions. Here, using psychosocial questionnaires and neuroimaging measures from over 11,000 children in the Adolescent Brain and Cognitive Development Study, we trained neural network models to stratify general psychopathology risk. The model trained on current symptoms accurately predicted which part…
Create a free account to keep reading
Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.
Want unlimited research access? See Pro plans