Work

3.4 What Matters Most: A Machine Learning Approach to Identify the Most Important Questions in the Automated Risk Assessment of School Violence

Year: 2024

Type: article

Study design: Clinical Trial

Source: Journal of the American Academy of Child & Adolescent Psychiatry

DOI: 10.1016/j.jaac.2024.08.171

Authors: Lara Kanbar, Alexander K. Osborn, Andrew Cifuentes, Jennifer Combs, Michael T. Sorter, Judith W. Dexheimer, Drew H. Barzman

Institution: Cincinnati Children's Hospital Medical Center

Language: English

Topic: Bullying, Victimization, and Aggression

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

SDGs: Peace, justice, and strong institutions, Good health and well-being, Quality education

Open Access status: bronze

OpenAlex ID: W4403164771

FWCI:

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Related to: 10