Table 2.
S. No | AI-Based Models | References |
---|---|---|
1. | Logistic Regression | [19,20,24,27,30,32,33,38,46,48] |
2. | Random forest | [19,23,24,33,40,42,43,46] |
3. | Support Vector Machine | [19,20,33,35,40,42,43] |
4. | Neural Network | [19,26,33,42,44] |
5. | Clustering (Hierarchical clustering) | [36,41] |
6. | Cox regression | [21,22,31,34] |
7. | Gradient boosting | [19,25,33] |
8. | Decision Tree | [19,42] |
9. | Locally Weighted Error Sum of Squares (LOESS) | [22] |
10. | Tensor-Factorization | [28] |