Table 1 Summary of five studies using machine learning techniques
Year | ML Model with best performance | Number of data features | Number of data entries | Target variable | Cut-off value | Result (AUC) |
|---|---|---|---|---|---|---|
2020 | Random Forest Classifiers | 23 | 100000 | Probability of unplanned readmission | 30d | 0.67 |
2021 | Random Forest Classifiers | 36 | 1298 | LOS after total knee arthroplasty | 8da | 0.766 |
2022 | Gradient boosting classifier | 17 | 7341 | LOS after acute hospitalization | 14d | 0.81 |
2022 | XGBoost | 52 | 5423 | Probability of unplanned readmissions | 30d | 0.81 |
2023 | XGBoost | 28 | 18195 | LOS of ischemic stroke patients | 7d and 14d | 0.89 |