However, feature importance analysis revealed “bullying duration”, “age”, “gender”, “drinking history”, “bullying location”, and “being mocked” as top predictors, while other variables showed marginal significance.
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Machine learning-based analysis and prediction of factors influencing mental health among children and adolescents in Jiangsu Province.
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