Multi-Level Depression Severity Detection with Deep Transformers and Enhanced Machine Learning Techniques

Multi-Level Depression Severity Detection with Deep Transformers and Enhanced Machine Learning Techniques

Depression is now one of the most common mental health concerns in the digital era, calling for powerful computational tools for its detection and its level of severity estimation. A multi-level depression severity detection framework in the Reddit social media network is proposed in this study, and...

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Bibliographic Details
Main Authors: Nisar Hussain, Amna Qasim, Gull Mehak, Muhammad Zain, Grigori Sidorov, Alexander Gelbukh, Olga Kolesnikova
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:AI
Subjects:
deep learning
machine learning
support vector machine
Online Access:https://www.mdpi.com/2673-2688/6/7/157
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