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The study aims to develop a framework for identifying mental health risks and suggesting interventions for academic and early-career populations.

April 10, 2026Open Access

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

Explore the article titled Explainable Mental Health Risk Stratification and Intervention Recommendation Framework for Academic and Early-Career Populations from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Mr. P. Chaitanya

P. Dimpul

R. Jyothi Naga Vimala

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

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Abstract

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