DDNet: A Robust, and Reliable Hybrid Machine Learning Model for Effective Detection of Depression Among University Students

DDNet: A Robust, and Reliable Hybrid Machine Learning Model for Effective Detection of Depression Among University Students

In recent years, the detection of depression among university students has become an increasingly critical issue. This paper presents a depression detection network (DDNet), a novel approach utilizing a three-stage stacked ensemble model to address this challenge. The proposed model incorporates two...

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Bibliographic Details
Main Authors: Nasirul Mumenin, Mohammad Abu Yousuf, Madini O. Alassafi, Muhammad Mostafa Monowar, Md. Abdul Hamid
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Hybrid model
depression detection
explainable AI
uncertainty analysis
university students
Online Access:https://ieeexplore.ieee.org/document/10928330/
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