Integrative analysis of psychosocial, chronotype, and environmental predictors of aggressive behavior in Adolescents: Insights from machine learning.

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Bibliographic Details
Title: Integrative analysis of psychosocial, chronotype, and environmental predictors of aggressive behavior in Adolescents: Insights from machine learning.
Authors: Nguyen-Louie T; University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA. Electronic address: tnguyenlouie@health.ucsd.edu., McCarthy MJ; University of California, San Diego, VA San Diego Healthcare System, 3350 La Jolla Village Dr, San Diego, CA, 92161, USA. Electronic address: mmccarthy@health.ucsd.edu., Coccaro EF; Clinical Neuroscience and Psychotherapeutics Research Unit, Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA. Electronic address: emil.coccaro@osumc.edu., Meruelo AD; University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA. Electronic address: ameruelo@health.ucsd.edu.
Source: Journal of psychiatric research [J Psychiatr Res] 2025 Sep; Vol. 189, pp. 91-103. Date of Electronic Publication: 2025 Jun 04.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: England NLM ID: 0376331 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1379 (Electronic) Linking ISSN: 00223956 NLM ISO Abbreviation: J Psychiatr Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-1379
DOI:10.1016/j.jpsychires.2025.06.005