Table 5.
An example of the prediction feature importance obtained from the prediction model based on the feature selection algorithm.
Vital signs | Statistical method of feature processing | Feature importance values |
Body temperature | Mean | 0.282 |
Oxygen saturation | Mean | 0.133 |
Oxygen saturation | Standard deviation delta | 0.126 |
Heart rate | Mean | 0.106 |
Body temperature | Mean absolute delta | 0.052 |
Heart rate | Median absolute delta | 0.046 |
Respiratory rate | Mean | 0.042 |
Mean blood pressure | Mean | 0.032 |
Body temperature | Kurtosis delta | 0.022 |
Mean blood pressure | Maximum absolute delta | 0.022 |
Diastolic blood pressure | Maximum absolute delta | 0.019 |
Mean blood pressure | Maximum delta | 0.018 |
Respiratory rate | Kurtosis absolute delta | 0.017 |
Systolic blood pressure | Maximum absolute delta | 0.016 |
Diastolic blood pressure | Mean | 0.013 |
Systolic blood pressure | Mean | 0.013 |
Respiratory rate | Median absolute delta | 0.011 |
Oxygen saturation | Maximum absolute delta | 0.010 |
Diastolic blood pressure | Maximum delta | 0.009 |
Systolic blood pressure | Maximum delta | 0.006 |
Heart rate | Minimum absolute delta | 0.004 |