Table 5.
Author | Objective | Type of Task | ML Algorithm | Accuracy |
---|---|---|---|---|
This work | Classification of PD from HC | PYP | kNNf | 96% |
Aich et al. [23] | Detection of FoG | GT | SVM | 88% |
Caramia et al. [25] | Classification of PD from HC | GT | SVM | 80% |
Klucken et al. [40] | Classification of PD from HC | GT, TTHP, CT | LDA, AdaBoost, SVM | 81% |
Naghavi et al. [41] | Detection of FoG | GT | kNN, SVM, MLP | 97% |
Atri et al. [42] | Classification of PD from HC | WLE | 1D-CNNs | 90% |