A Hybrid Deep Learning Model for Predicting Depression Symptoms From Large-Scale Textual Dataset

A Hybrid Deep Learning Model for Predicting Depression Symptoms From Large-Scale Textual Dataset

A significant number of individuals are facing mental health issues due to a lack of timely treatment and support for detecting depression. This lack of early treatment is a primary factor contributing to conditions such as anxiety disorders, bipolar disorders, sleep disorders, depression, and, in s...

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Bibliographic Details
Main Authors: Sulaiman Almutairi, Mohammed Abohashrh, Hasanain Hayder Razzaq, Muhammad Zulqarnain, Abdallah Namoun, Faheem Khan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
convolution neural network
long short-term memory
attention mechanism
depression detection
Online Access:https://ieeexplore.ieee.org/document/10750787/
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https://ieeexplore.ieee.org/document/10750787/

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