Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning

Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning

Major depressive disorder (MDD) is associated with substantial morbidity and mortality, yet its diagnosis and treatment rates remain low due to its diverse and often overlapping clinical manifestations. In this context, electroencephalography (EEG) has gained attention as a potential objective tool...

Full description

Saved in:
Bibliographic Details
Main Authors: Damir Mulc, Jaksa Vukojevic, Eda Kalafatic, Mario Cifrek, Domagoj Vidovic, Alan Jovic
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
depression detection
major depressive disorder
electroencephalography
machine learning
Online Access:https://www.mdpi.com/1424-8220/25/2/409
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items