Multimodal Data Fusion for Depression Detection Approach

Multimodal Data Fusion for Depression Detection Approach

Depression is one of the most common mental health disorders in the world, affecting millions of people. Early detection of depression is crucial for effective medical intervention. Multimodal networks can greatly assist in the detection of depression, especially in situations where in patients are...

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Bibliographic Details
Main Authors: Mariia Nykoniuk, Oleh Basystiuk, Nataliya Shakhovska, Nataliia Melnykova
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Computation
Subjects:
depression detection
multimodal networks
early fusion
late fusion
mental health
deep learning
Online Access:https://www.mdpi.com/2079-3197/13/1/9
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