Table 4.
Results of Artificial Neural Networks reveal normalized importance values of predictor variables in aneurysmal subarachnoid hemorrhage.
| Artificial neural networks independent variable |
Type of prognostic factor | Importance |
|---|---|---|
| Age | Demographic | 0.111 |
| Second stroke | Neurologic | 0.081 |
| Myocardial infarction | Systemic | 0.075 |
| Temperature | Systemic | 0.061 |
| Mean arterial pressure | Systemic | 0.054 |
| Neurological grade | Neurologic | 0.048 |
| Ruptured aneurysm size | Neurologic | 0.039 |
| Diabetes mellitus | Systemic | 0.037 |
| Angina | Systemic | 0.034 |
| SAH clot thickness | Neurologic | 0.033 |
| Lung edema | Systemic | 0.032 |
| Admission angiographic vasospasm | Neurologic | 0.029 |
| Previous subarachnoid hemorrhage | Neurologic | 0.028 |
| Vasospasm day | Neurologic | 0.028 |
| Cerebral edema | Neurologic | 0.028 |
| Vasospasm during treatment | Neurologic | 0.027 |
| Aneurysm location | Neurologic | 0.025 |
| Time to treatment | Demographic | 0.025 |
| Normal motor response | Neurologic | 0.024 |
| Intracerebral hematoma | Neurologic | 0.022 |
| Normal speech | Neurologic | 0.021 |
| Day-8 temperature | Systemic | 0.021 |
| Gender | Demographic | 0.020 |
| Eye opening | Neurologic | 0.018 |
| Migraine history | Neurologic | 0.015 |
| Intraventricular hemorrhage | Neurologic | 0.015 |
| Hypertensive history | Systemic | 0.014 |
| Anticoagulant use | Systemic | 0.014 |
| Seizures | Neurologic | 0.013 |
| Hydrocephalus | Neurologic | 0.012 |