Table 4.
Top three most reliable machine learning models performance comparison with patient-specific and situational variables in predicting length of stay, discharge disposition, and in-patient mortality.
| THA |
||||||
|---|---|---|---|---|---|---|
| LOS | ||||||
| Reliability (Accuracy) |
Responsiveness (AUC) |
|||||
| Training | Testing | Validation | Training | Testing | Validation | |
| Patient Variables | ||||||
| LSVM | 70.36% | 70.02% | 70.34% | 0.717 | 0.72 | 0.717 |
| CHAID | 69.97% | 69.79% | 69.78% | 0.708 | 0.708 | 0.704 |
| Decision List | 84.92% | 84.69% | 85.08% | 0.64 | 0.64 | 0.638 |
| Situational Variables | ||||||
| LSVM | 65.51% | 64.99% | 65.64% | 0.578 | 0.578 | 0.579 |
| CHAID | 65.79% | 65.22% | 65.88% | 0.587 | 0.588 | 0.589 |
| Decision List | 86.29% | 86.28% | 86.35% | 0.552 | 0.55 | 0.552 |