Centile-based early warning scores derived from statistical distributions of vital signs.
AIM OF STUDY: To develop an early warning score (EWS) system based on the statistical properties of the vital signs in at-risk hospitalised patients. MATERIALS AND METHODS: A large dataset comprising 64,622 h of vital-sign data, acquired from 863 acutely ill in-hospital patients using bedside monit...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Elsevier
2011
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