Table 1.

Summary of the performance of the existing methods.

Study	Method	Results
Mohan et al. [21]	Hybrid Random Forest with Linear Model (HRFLM)	Accuracy: 88% Sensitivity: 92.8% Specificity: 82.6%
Singh et al. [22]	SVM K-Nearest Neighbors Decision Tree Linear Regression	83% Accuracy SVM 79% (DT) 78% (LR) 87% (KNN)
Gavhane et al. [23]	Neural Network	Precision rate: 91% Recall rate: 89%
Kavitha et al. [24]	Hybrid Model (Random Forest (RF) and Decision Tree (DT))	Accuracy: 88%
Amiri and Armano [25]	Classification—CART	Accuracy: 99.14% Sensitivity: 100% Specificity: 98.28%
Liu and Kim [26]	Classifier—Long Short Term Memory (LSTM)	Accuracy: 98.4%