Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment

Table 27

Feature selection.

Feature selection methods	Articles
AUC maximization	[58, 83, 112, 122]
BFE	[133]
Consistency-based filter (CBF), correlation-based feature selection (CFS), filtered subset evaluator (FSE), Chi squared (CS), gain ratio (GR), relief-, symmetrical uncertainty (SU), and ensemble feature selection (EFS)	[114]
Correlation-based pursuit	[129]
FCBF	[140]
Fit-curve model	[40]
Genetic	[41, 130]
Logistic regression	[107, 178]
Manual	[96]
OFR	[135]
value	[81, 109, 126, 127, 176]
PCA	[139]
Ranking by Fisher ratio score	[38]
Reverse sequential feature selection	[42]
SVD	[77]
SVM classifier (best performers)	[85, 136–138]

BFE: best feature extraction; FCBF: fast correlation-based filter; OFR: orthogonal forward regression; SVD: singular value decomposition.