Table 3 Key studies on the osteoporosis prediction using machine learning.
From: Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning
Study | Number of patients | Number of selected features | Best performance model | Best performance (AUC) |
|---|---|---|---|---|
Shim et al.20 | 1792 | 9 | ANN | 0.743 |
Erjiang et al.21 | 13,577 | 30 | XGB | 0.833 |
Yang et al.22 | 5982 | 16/19 | RF | 0.843/0.811 |
Wang et al.23 | 1419 | 18 | ANN | 0.762 |
Iliou et al.24 | 3426 | 2 | MLP | 0.710 |
Park et al.19 | 3309 | 20 | XGB | 0.730/0.790 |
Bui et al.25 | 1951 | 15 | RF | 0.854 |
Our study | 2374 | 83 | RL | 0.750 |
