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Tahoona Kshif

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Open access Sep 2026

A Software-Oriented Deep Learning Framework for Multiclass Academic Stress and Mental Health Risk Prediction

This study proposes a multiclass predictive framework for academic stress and mental health risk classification among students using a Kaggle dataset containing 25,000 records, and indicates that ensemble and deep learning approaches can effectively support multiclass mental health risk classification.

Shoaib Ahmad, A. Imran, Tahoona Kshif et al. · 0 citations

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