Linking Mental Health Incidents with External Variables: A Machine Learning Study

This study explores the correlation between mental health incidents and external socioeconomic variables. Using machine learning techniques, the data to identify patterns and predict mental health risks is analysed. The research includes a detailed analysis that provides a comprehensive overview of how these external factors influence mental health. The results obtained are promising and demonstrate the potential of machine learning to improve public health strategies. As ongoing work, quantum machine learning techniques are being applied to further refine the proposed predictive models and improve accuracy.