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A Machine Learning Framework for Major Depressive Disorder (MDD) Detection Using Non-invasive EEG Signals.

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Title: A Machine Learning Framework for Major Depressive Disorder (MDD) Detection Using Non-invasive EEG Signals.
Authors: Bashir, Nayab1, Narejo, Sanam2, Sanam.narejo@faculty.muet.edu.pk, Naz, Bushra2, Ismail, Fatima3, Anjum, Muhammad Rizwan4, engr.muhammadrizwan@gmail.com, Butt, Ayesha2, Anwar, Sadia5, Prasad, Ramjee5
Source: Wireless Personal Communications; Jan2025, Vol. 140 Issue 1, p39-61, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A Machine Learning Framework for Major Depressive Disorder (MDD) Detection Using Non-invasive EEG Signals.
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  Data: <searchLink fieldCode="JN" term="%22Wireless+Personal+Communications%22">Wireless Personal Communications</searchLink>; Jan2025, Vol. 140 Issue 1, p39-61, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=183641294
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        Value: 10.1007/s11277-023-10445-w
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      – Code: eng
        Text: English
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      – TitleFull: A Machine Learning Framework for Major Depressive Disorder (MDD) Detection Using Non-invasive EEG Signals.
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            NameFull: Anjum, Muhammad Rizwan
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            NameFull: Butt, Ayesha
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            – D: 01
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
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