Data mining EEG signals in depression for their diagnostic value
about
A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).Combining EEG signal processing with supervised methods for Alzheimer's patients classification.Comparison of hemispheric asymmetry measurements for emotional recordings from controls
P2860
Data mining EEG signals in depression for their diagnostic value
description
2015 nî lūn-bûn
@nan
2015 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Data mining EEG signals in depression for their diagnostic value
@ast
Data mining EEG signals in depression for their diagnostic value
@en
Data mining EEG signals in depression for their diagnostic value
@nl
type
label
Data mining EEG signals in depression for their diagnostic value
@ast
Data mining EEG signals in depression for their diagnostic value
@en
Data mining EEG signals in depression for their diagnostic value
@nl
prefLabel
Data mining EEG signals in depression for their diagnostic value
@ast
Data mining EEG signals in depression for their diagnostic value
@en
Data mining EEG signals in depression for their diagnostic value
@nl
P2093
P2860
P1476
Data mining EEG signals in depression for their diagnostic value
@en
P2093
Bijan Raahemi
Dylan Smith
Fadwa Al-Azab
Gregory Richards
Mahdi Mohammadi
Natalia Jaworska
Pierre Blier
Sara de la Salle
Verner Knott
P2860
P2888
P356
10.1186/S12911-015-0227-6
P407
P577
2015-12-23T00:00:00Z