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Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and De...

Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and De...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8ea8afd9dc354f81b0d891571dca61a2

Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis

About this item

Full title

Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-11, Vol.24 (21), p.6815

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The global prevalence of Major Depressive Disorder (MDD) is increasing at an alarming rate, underscoring the urgent need for timely and accurate diagnoses to facilitate effective interventions and treatments. Electroencephalography remains a widely used neuroimaging technique in psychiatry, due to its non-invasive nature and cost-effectiveness. Wit...

Alternative Titles

Full title

Resting-State Electroencephalogram Depression Diagnosis Based on Traditional Machine Learning and Deep Learning: A Comparative Analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8ea8afd9dc354f81b0d891571dca61a2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8ea8afd9dc354f81b0d891571dca61a2

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24216815

How to access this item