Algorithm | Number of Uses Algorithm of Papers | Count |
Convolution Neural Network (CNN) | [2] [4] [7] [9] [10] [11] [12] [16] [17] [23] [25] [27] [30] [41] [43] [44] | 16 |
Support Vector Machine (SVM) | [5] [14] [16] [20] [24] [28] [31] [33] [35] [37] [39] [42] [44] [45] [48] | 15 |
Random Forest (RF) | [3] [5] [6] [8] [9] [16] [18] [20] [28] [31] [33] [35] [37] [39] | 14 |
K-Nearest Neighbors (KNN) | [3] [5] [8] [16] [18] [28] [31] [33] [35] [37] [39] [46] | 12 |
Decision Tree (DT) | [6] [16] [18] [28] [31] [33] [35] [37] [39] | 10 |
Multilayer Perceptron (MLP) | [1] [3] [19] [21] [26] [31] [33] [35] [37] [39] | 9 |
Logistic Regression (LR) | [3] [31] [33] [35] [37] [39] | 6 |
Naïve Bayes (NB) | [3] [31] [33] [35] [37] [39] | 6 |
J48 Trees | [3] [5] [31] [33] [35] [37] [39] | 6 |
Deep learning (DL) | [17] [32] [34] [36] [38] [40] | 6 |
Artificial Neural Network (ANN) | [13] [44] [46] [48] | 4 |
XGBoost | [6] [9] [29] | 3 |
RPART | [5] [28] | 2 |
Bayes NET | [19] [20] | 2 |
AUC | [49] [50] | 2 |
ROC | [49] [50] | 2 |
SMOTE Tomek | [15] | 1 |
U-Net | [22] | 1 |
Inception-v3 with 48 layers (IncV3) | [30] | 1 |
LVQ | [44] | 1 |
Cox Regression | [47] | 1 |