Explainable Mental Health Risk Stratification and Intervention Recommendation Framework for Academic and Early-Career Populations

Key Points

• The study aims to develop a framework for identifying mental health risks and suggesting interventions for academic and early-career populations.
• Evaluated mental health risk factors
• Developed explainable algorithms
• Tested intervention recommendations based on stratification
• Identified key risk factors impacting mental health
• Demonstrated effectiveness of intervention strategies
• Provided a user-friendly framework for implementation

Abstract