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

• المؤلفون الرئيسيون: 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, Tirado, Liliana Maria Uribe, Yotanyamaneewong, Saengduean, Alampay, Liane Peña
• التنسيق: text
• منشور في: Archīum Ateneo 2023
• الموضوعات: Adolescence; Externalizing; Internalizing; Machine learning; Parenting; Prediction; Psychology; Social and Behavioral Sciences
• الوصول للمادة أونلاين: https://archium.ateneo.edu/psychology-faculty-pubs/437; https://doi.org/10.1007/s10964-023-01767-w
• المؤسسة: Ateneo De Manila University

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...