From: Using random forests to model 90-day hometime in people with stroke
Variable | Predicted 90-day hometime (days) |
---|---|
Sex | |
 Female | 48.8 |
 Male | 48.7 |
Stroke Type | |
 Intra-cerebral Hemorrhage | 40.0 |
 Ischemic Stroke | 50.0 |
Diabetes | |
 Yes | 47.7 |
 No | 49.3 |
Atrial Fibrillation | |
 Yes | 48.5 |
 No | 48.8 |
Hypertension | |
 Yes | 48.8 |
 No | 48.3 |
Myocardial Infarction | |
 Yes | 49.3 |
 No | 48.7 |
Neighbourhood Income Quintile | |
 Quintile 1 (lowest) | 47.9 |
 Quintile 2 | 48.6 |
 Quintile 3 | 49.2 |
 Quintile 4 | 49.0 |
 Quintile 5 (highest) | 49.2 |
Home Location | |
 Rural | 47.8 |
 Urban | 49.0 |
Received Thrombolysis | |
 Yes | 48.5 |
 No | 48.5 |
Received Stroke Unit Care | |
 Yes | 49.7 |
 No | 47.5 |
Fiscal Year Group | |
 2010–2011 | 45.4 |
 2012–2013 | 46.8 |
 2014–2015 | 49.6 |
 2016–2017 | 51.1 |