|
| Survey paper | Articles searched | Objective | Difference from this paper |
|
| [28] | 165 | Research on the bankruptcy risk of financial institutions | Internet financial risk management was not mentioned |
| Investigation of model type by decade | The application of ML algorithm was not involved |
| Compare model performance | Credit risk was not considered |
|
| [29] | 214 | Research on the application of traditional credit card scoring model | Deep learning models were not covered |
| Comparing models based on performance |
|
| [30] | 130 | ML in financial crisis prediction | Credit risk was not covered |
| Focus on private enterprise | Not related to financial industry |
|
| [31] | Not specified | Comparing models based on credit rating | Internet financial risk management was not mentioned |
| Lack of evidence to prove that it is advisable to introduce ML algorithm into credit card scoring model |
|
| [32] | 187 | Proposing a new method for scoring | Deep learning models were not covered |
| Compare traditional techniques | Internet financial risk management was not included |
| Conceptual discussion |
|
| [33] | 6 | Focus on bankruptcy prediction | Internet financial risk management was not included |
| Models are compared based on design, datasets, and baselines | Credit risk was not covered |
|
| [34, 35] | 49 | The search for models to predict the prices of financial markets | Internet financial risk management was not included |
| Credit risk was not covered |
|
