- Title
- Predicting Adolescent Mental Health Outcomes Across Cultures: A Machine Learning Approach
- Creators
- W. Andrew Rothenberg - Duke UniversityAndrea Bizzego - University of TrentoGianluca Esposito - University of TrentoJennifer E. Lansford - Duke UniversitySuha M. Al-Hassan - Hashemite UniversityDario Bacchini - University of Naples Federico IIMarc H. Bornstein - Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentLei Chang - City University of MacauKirby Deater-Deckard - University of Massachusetts AmherstLaura Di Giunta - Sapienza University of RomeKenneth A. Dodge - Duke UniversitySevtap Gurdal - University WestQin Liu - Chongqing Medical UniversityQian Long - Duke Kunshan UniversityPaul Oburu - Maseno UniversityConcetta Pastorelli - Sapienza University of RomeAnn T. Skinner - Duke UniversityEmma Sorbring - University WestSombat Tapanya - Chiang Mai UniversityLaurence Steinberg - Temple UniversityLiliana Maria Uribe Tirado - Universidad de San Buenaventura, BogotaSaengduean Yotanyamaneewong - Chiang Mai UniversityLiane Peña Alampay - Ateneo de Manila University
- Publication Details
- Journal of youth and adolescence, Vol.52(8), pp.1595-1619
- Number of pages
- 25
- Grant note
- RO1-HD054805; P2CHD065563 / Eunice Kennedy Shriver National Institute of Child Health and Human Development (http://data.elsevier.com/vocabulary/SciValFunders/100009633) Eunice Kennedy Shriver National Institute of Child Health and Human Development (http://data.elsevier.com/vocabulary/SciValFunders/100009633) Horizon 2020 (http://data.elsevier.com/vocabulary/SciValFunders/501100007601) 695300 / Horizon 2020 Framework Programme (http://data.elsevier.com/vocabulary/SciValFunders/100010661) P30 DA023026 / National Institute on Drug Abuse (http://data.elsevier.com/vocabulary/SciValFunders/100000026) European Research Council (http://data.elsevier.com/vocabulary/SciValFunders/501100000781) Horizon 2020 Framework Programme (http://data.elsevier.com/vocabulary/SciValFunders/100010661) Centre for the Evaluation of Development Policies National Institutes of Health (http://data.elsevier.com/vocabulary/SciValFunders/100000002) Fogarty International Center (http://data.elsevier.com/vocabulary/SciValFunders/100000061)
- Academic Unit
- Miller School of Medicine; UMMG Dept of Pediatrics - Mailman Center for Child Development
- Language
- English
- Resource Type
- Journal article
- PMID
- 37074622
- Record Identifier
- 991032860844602976
Journal article
Predicting Adolescent Mental Health Outcomes Across Cultures: A Machine Learning Approach
Journal of youth and adolescence, Vol.52(8), pp.1595-1619
2023-08-01
PMID: 37074622
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