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Anxiety onset in adolescents: a machine-learning prediction
PsychologyMolecular Psychiatry

Anxiety onset in adolescents: a machine-learning prediction

A. V. Chavanne, M. L. P. Martinot, et al.

This groundbreaking research reveals that future clinical anxiety onset can be predicted in non-anxious 14-year-olds using machine-learning algorithms, emphasizing the importance of psychometric features. The study, conducted by a team of researchers including Alice V. Chavanne and Patricia Conrod, stresses the value of neuroanatomical data for predicting Generalized Anxiety Disorder. Discover how gray matter volumes and emotional symptoms play a crucial role in youth mental health!... show more
Citation Metrics
Citations
31
Influential Citations
3
Reference Count
57
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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