Machine learning techniques for identifying mental health risk factor associated with schoolchildren cognitive ability living in politically violent environments.

The findings can inform evidence-based strategies for preventing and mitigating the detrimental effects of political violence on individuals and communities, highlighting the importance of addressing the needs of children in conflict-affected areas and the potential of using technology to improve their well-being.