| Model | Accuracy (%) | Notes |
|---|---|---|
| Logistic Regression | 95.61 | Simple and interpretable. |
| Random Forest | 96.84 | Robust and versatile. |
| Deep Learning | 97.89 | Best performance; higher complexity. |
| Bayesian Network | 98.1 | Used in our published research. |
For production environments with high performance requirements, we recommend the Deep Learning model. For interpretable and clinical-friendly applications, consider Random Forest.