International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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A Deep Convolution Neural Network Framework for Detecting Depression Using EEG

Author(s) Lakhmi H B, Shwetha M R
Country India
Abstract Depression is a widespread mental disorder affecting millions globally and creating major personal and social burdens. The World Health Organization (WHO) predicts it will become the leading cause of disease burden by 2030. Current diagnosis methods rely on interviews and questionnaires, which are subjective and prone to error. Hence, reliable and objective detection techniques are essential.
Keywords EEG, Depression Detection, Convolutional Neural Network, Deep Learning, Machine Learning, Random Forest, Decision Tree, Mental Health
Field Computer Applications
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-08-23
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.54021
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E-ISSN 2582-2160
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