From: Predicting triage of pediatric patients in the emergency department using machine learning approach
Feature | count | mean | SD | min | 10% | 25% | 50% | 75% | 90% | 95% | 99% | max |
---|---|---|---|---|---|---|---|---|---|---|---|---|
ID | 7125 | 3563 | 2056.955 | 1 | 713.4 | 1782 | 3563 | 5344 | 6412.6 | 6768.8 | 7053.76 | 7125 |
AGE | 7125 | 5.591 | 4.103 | 1 | 1 | 2 | 4 | 9 | 12 | 13 | 14 | 14 |
SBP | 7125 | 118.256 | 13.318 | 80 | 101 | 108 | 118 | 129 | 136 | 139 | 147 | 159 |
DBP | 7125 | 73.693 | 10.75 | 40 | 60 | 66 | 74 | 82 | 87 | 89 | 98 | 109 |
HR | 7125 | 80.355 | 8.654 | 50 | 70 | 74 | 80 | 86 | 91 | 96 | 102 | 109 |
RR | 7125 | 28.305 | 3.143 | 20 | 24 | 26 | 28 | 31 | 33 | 33 | 35 | 37 |
BT | 7125 | 35.792 | 0.35 | 34.505 | 35.39 | 35.593 | 35.773 | 35.957 | 36.268 | 36.43 | 36.817 | 36.997 |
Saturation | 7125 | 92.213 | 1.946 | 85 | 90 | 91 | 92 | 94 | 94 | 96 | 97 | 99 |
CTAS | 7125 | 2.91 | 0.636 | 1 | 2 | 3 | 3 | 3 | 4 | 4 | 4 | 5 |