Table 1 List of abbreviations
Abbreviation | Definition | Abbreviation | Definition |
|---|---|---|---|
AI | Artificial Intelligence | LASSO | Least absolute shrinkage and selection operator |
AD | Alzheimer’s disease | ML | Machine learning |
ANN | Artificial neural networks | mRMR | Minimum redundancy maximum relevance |
ART | Artifact detection tools | MLP | Multi-layer perceptron |
ANT | Advanced normalization tools | MRI | Magnetic resonance imaging |
ARR | Analysis of variance with recursive reduction | MCOA | Modified crayfish optimization algorithm |
AdaBoost | Adaptive Boosting | MDS | Multidimensional scaling |
BGRU | Bidirectional gated recurrent unit | MFDFA | Multifractal detrended fluctuation analysis |
BLSTM | Bidirectional long short-term memory | MS-ResNet | Multi-scale residual neural network |
BOSS | Bag of symbolic Fourier approximation symbols | MLA | Modified local accuracy |
BRF | Bagged random forests | MLP_BPC | Multilayer perceptron back propagation classifier |
BNB | Bernoulli naive Bayes | MetDNA | Metabolite identification and dysregulated network analysis software |
ChOA | Chimp optimization algorithm | NB | Naive Bayes |
CRNN | Convolutional recurrent neural networks | N3 | Non-parametric non-uniform intensity normalization algorithm |
CatBoost | Categorical Boosting | NPNN | New probabilistic neural network classifier |
CART | Classification and regression tree | PCA | Principal component analysis |
CUDA | Compute unified device architecture | PNN | Probabilistic neural networks |
DL | Deep learning | PET | Positron emission tomography |
DNN | Deep neural network | PD | Parkinson’s disease |
DSL | Deep sample learning | PAC | Passive aggressive classifier |
DCNN | Deep convolutional neural network | RIPPER | Repeated incremental pruning to produce error reduction |
DT | Decision tree | PLS-DA | Partial least-squares discriminant analysis |
DCT | Discrete cosine transforms | QDA | Quadratic discriminant analysis |
DAT | Dopamine transporter | QSM | Quantitative susceptibility mapping |
DWT | Discrete wavelet transforms | QC-RLSC | Quality control robust loess signal correction |
DRSN | Deep residual shrinkage network | QReLU | Quantum rectified linear unit |
ELM | Extreme learning machine | REM | Rapid eye movement |
EM | Expectation-maximization | RNN | Recurrent neural network |
ELA | Ensemble learning based AdaBoost | ReLU | Rectified linear unit |
ECG | Electrocardiogram | RF | Random forest |
ET | Extra trees classifier | RQ | Research question |
ERT | Extremely randomized trees | ResNeXt | Residual neural network |
ECOCMC | Error correcting output codes model classifier | RMSPROP | Root mean square propagation |
FOG | Freezing of gait | RMA | Robust multi-array average |
FT | First step transfer | RDFSA | Regularized discriminative feature selection algorithm |
FFT | Fast Fourier transform | SLR | Systematic literature review |
FSL | FMRIB software library | SPECT | Single-photon emission computed tomography |
FNN | Feedforward neural networks | SVM | Support vector machine |
FSKL-LLC | Feature selection and kernel learning for local learning-based clustering | SPM | Statistical parametric mapping |
GMM | Gaussian mixture models | SGD | Stochastic gradient descent |
GB | Gradient boosting | SMOTE-ENN | Synthetic minority oversampling technique – edited nearest neighbors |
GDABC | Gbest dimension artificial bee colony | SHAP | Shapley additive explanation |
GAN | Generative adversarial network | SN | Substantia nigra |
GA | Genetic Algorithm | SNPC | Substantia nigra pars compacta |
Grad-CAM | Gradient-weighted class activation mapping | SVM-RFE | SVM recursive feature elimination |
GNB | Gaussian naive Bayes | SDTW | Sequential dynamic time warping |
GBDT | Gradient boosting decision trees | SMOTE | Synthetic minority oversampling technique |
HC | Healthy control | STMIM | Spatiotemporal microstate identification model |
HGSA | Hybrid grid search algorithm | SVR | Support vector regression |
HRQoL | Health-related quality of life | SF-PC | Sort features based on pairwise correlations |
IoT | Internet of things | SSAE | Stacked sparse autoencoder |
ICA | Independent Component Analysis | TL | Transfer learning |
IMC | Iterative means clustering | TCS | Transcranial Sonography |
IO-HMM | Input-Output Hidden Markov Model | TQWT | Tunable Q-factor wavelet transform |
IPA | Ingenuity pathway analysis | UFS-MCC | Unsupervised feature selection for multi-class cluster |
JCR | Journal citation reports | UMAP | Uniform manifold approximation and projection |
KNN | k-nearest neighbors | UFS-OL | Unsupervised feature selection algorithm with ordinal locality |
LightGBM | Light gradient boosting machine | VGG | Visual geometry group |
LR | Logistic regression | WFM-DSS | Weighted fusion mechanism based on deep sample space |
LDA | Linear discriminant analysis | WPT | Wavelet packet transform |
L1R&FS | L1 regularization feature selection | XGBoost | eXtreme gradient boosting |
