Table 4.
Net Reclassification Improvement (NRI) of the RF Model compared to the TIMI risk score using the in-hospital selected features dataset. The table depicts the comparative performance of the RF model against the TIMI Risk Score for STEMI patients.
| In-hospital Selected Features | ||||||
|---|---|---|---|---|---|---|
| Number of individuals | Reclassification | Net correctly reclassified (%) | ||||
| Random Forest | Increased risk | Decreased risk | ||||
| Low risk | High risk | |||||
| Individuals with events (died) (n = 171) | ||||||
| TIMI score | 34 | 26 | 8/171 = 4.68% | |||
| Low risk | 37 | 34 | ||||
| High risk | 26 | 74 | ||||
| Individuals without events (alive) (n = 2334) | ||||||
| TIMI score | 124 | 218 | 94/2334 = 4.03% | |||
| Low risk | 1798 | 124 | ||||
| High risk | 218 | 194 | ||||
| Net Reclassification Index (NRI) | 4.68 + 4.03 = 8.71% | |||||
| Z, p-value |  |
|||||
| 189.41, p < 0.001 | ||||||
| Conclusion | It was statistically significant. The predictive power of the RF model was improved as compared to the TIMI Risk Scores Model in predicting the mortality rate of ACS STEMI patients in the presence of air pollution, and the proportion of correct classification increased by 8.71% | |||||