Table 3 Descriptive statistics of the study population – Experiments 1 and 2
From: Machine learning prediction of mortality in Acute Myocardial Infarction
| Â | Â | Overall Study Sample | Mortality |
|---|---|---|---|
Total | Â | 1,749 | 218 (12.5%) |
Age Group |  < 70 | 843 (48.2%) | 48 (5.7%) |
 ≥ 70 | 906 (51.8%) | 170 (18.8%) | |
Sex | Female | 606 (34.6%) | 91 (15.0%) |
Male | 1,143 (65.4%) | 127 (11.1%) | |
Type of AMI | Anterior STEMI | 300 (17.2%) | 44 (14.7%) |
Other STEMI | 785 (44.9%) | 123 (15.7%) | |
NSTEMI | 664 (38.0%) | 51 (7.7%) | |
N.º of Comorbidities | 0 | 560 (32.0%) | 17 (3.0%) |
1 | 470 (26.9%) | 51 (10.9%) | |
2 | 312 (17.8%) | 57 (18.3%) | |
3 | 189 (10.8%) | 41 (21.7%) | |
4 | 123 (7.0%) | 33 (26.8%) | |
5 | 67 (3.8%) | 11 (16.4%) | |
6 | 22 (1.3%) | 5 (22.7%) | |
7 | 5 (0.3%) | 2 (40.0%) | |
8 | 1 (0.1%) | 1 (100.0%) | |
Comorbidities | Anaemia | 220 (12.6%) | 29 (13.2%) |
Cancer | 88 (5.0%) | 25 (18.4%) | |
Cardiogenic Shock | 105 (6.0%) | 74 (70.5%) | |
Diabetes with complications | 150 (8.6%) | 21 (14.0%) | |
Diabetes without complications | 395 (22.6%) | 53 (13.4%) | |
Cardiac dysrhythmia | 481 (27.5%) | 102 (21.2%) | |
Cerebrovascular Disease | 204 (11.7%) | 31 (15.2%) | |
Pulmonary oedema | 96 (5.5%) | 28 (29.2%) | |
Acute Kidney Failure | 359 (20.5%) | 66 (18.1%) | |
Chronic Kidney Failure | 356 (20.4%) | 54 (15.2%) | |
Respiratory infection | 209 (11.9%) | 45 (21.5%) | |
Surgical Intervention | Yes | 1,077 (61.6%) | 93 (8.6%) |
No | 672 (38.4%) | 125 (18.6%) | |
Number of tranfers between services |  < = 2 | 1472(84.2%) | 180(12.2%) |
 < = 5 | 248(14.2%) | 24(9.7%) | |
 < = 8 | 26(1.5%) | 4(15.4%) | |
 > 8 | 3(0.2%) | 1(33.3%) |