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

Furthermore, the findings indicate that exposure to political violence, PTSD, depression, Behaviours Strengths, and Difficulties scale (emotional symptoms, conduct problems, hyperactivity, peer relationship problems, and prosocial behavior), positive health perception, and serious thoughts of attempting suicide were highly significant with cognitive ability scores.

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