Research Article
Predicting Long-Term Mortality after Acute Coronary Syndrome Using Machine Learning Techniques and Hematological Markers
Table 3
Baseline characteristics according to the survival or death status–categorical variables.
| | Survival () | Death () |
| Sex | | | Male | 2908 | 493 | Female | 1379 | 273 | Diabetes | | | No diabetes | 3106 | 503 | Type 1 diabetes | 20 | 2 | Type 2 diabetes | 1161 | 261 | PCI during hospitalization | | | True | 2565 | 468 | False | 1722 | 298 | Killip Class | | | I | 4196 | 708 | II | 74 | 24 | III | 9 | 9 | IV | 8 | 25 | ST-segment elevation | | | False | 3047 | 484 | True | 1240 | 282 | ST-segment deviation | | | False | 3521 | 699 | True | 766 | 67 |
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