Review Article
Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment
| 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] |
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BFE: best feature extraction; FCBF: fast correlation-based filter; OFR: orthogonal forward regression; SVD: singular value decomposition.
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