Table 2 Baseline characteristics
Author | Year | Sex | Age (year) | MT | ODM | ROC | TP | FP | FN | TN |
|---|---|---|---|---|---|---|---|---|---|---|
Caussy | 2019 | 9/29 | 65.1 ± 9.8 | Random forest | / | / | 22 | 7 | 4 | 39 |
Dong | 2020 | 19/0 | 66.2 ± 6.8 | Random forest | 10-fold cross-validation | 0.82 | 36 | 9 | 14 | 16 |
Chen | 2020 | 20/5 | 51.24 ± 6.91 | Random forest | 10-fold cross-validation | / | 20 | 5 | 5 | 46 |
Gyu Oh | 2020 | 5/22 | 64.74 ± 9.80 | Random forest | 10-fold cross-validation | Italy 0.89China 0.88 | 23 | 8 | 4 | 19 |
Loomba | 2017 | 2/13 | 63.4 ± 3 | Random forest/ Support Vector Machines | Separation of training set and test set | / | 13 | 4 | 1 | 68 |
Lang 1A | 2020 | 20/24 | 58.9 (20.2–79.6) | Logistic model | Leave-One-Out Cross-Validation | / | 8 | 9 | 1 | 55 |
Lang 1B | 2020 | 16/13 | 51.9 (28.8–74.2) | Logistic model | Leave-One-Out Cross-Validation | 0.71 | 21 | 5 | 8 | 39 |
Lang 2 | 2020 | 8/5 | 64.0 ± 7.0 | Random forest | Separation of training set and test set | / | 12 | 17 | 1 | 66 |
Lapidot | 2020 | 46/22 | 65.9 | Random forest | 20-fold cross-validation | / | 62 | 10 | 6 | 17 |
Lee | 2020 | 27/37 | 58.7 ± 10.7 | / | / | 0.721 | 48 | 6 | 16 | 101 |
Schwimmer | 2019 | 62/65 | 12 ± 10.7 | Classification Regression Tree/Decision Tree | 10-fold cross-validation | / | 65 | 1 | 22 | 36 |