Predicting Adolescent Mental Health Outcomes Across Cultures: A Machine Learning Approach.

Adolescent mental health problems are rising rapidly around the world. To combat this rise, clinicians and policymakers need to know which risk factors matter most in predicting poor adolescent mental health. Theory-driven research has identified numerous risk factors that predict adolescent mental...

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Bibliographic Details

Published in:	Journal of Youth & Adolescence Vol. 52; no. 8; pp. 1595 - 1620
Main Authors:	Rothenberg, W. Andrew, Bizzego, Andrea, Esposito, Gianluca, Lansford, Jennifer E., Al-Hassan, Suha M., Bacchini, Dario, Bornstein, Marc H., Chang, Lei, Deater-Deckard, Kirby, Di Giunta, Laura, Dodge, Kenneth A., Gurdal, Sevtap, Liu, Qin, Long, Qian, Oburu, Paul, Pastorelli, Concetta, Skinner, Ann T., Sorbring, Emma, Tapanya, Sombat, Steinberg, Laurence
Format:	Article
Published:	Springer Nature Aug2023
Subjects:	Mental illness risk factors Culture Adolescent health Teenagers' conduct of life Adolescence Machine learning Risk assessment Research funding Descriptive statistics Prediction models
Online Access:	View this record in EBSCOhost