Optimising classifiers for the detection of physiological deterioration in patient vital-sign data
Hospital patient outcomes can be improved by the early identification of physiological deterioration. Automatic methods of detecting patient deterioration in vital-sign data typically attempt to identify deviations from assumed "normal" physiological condition. This paper investigates the...
| Main Authors: | , , , |
|---|---|
| Format: | Conference item |
| Published: |
ScitePress Digital Library
2011
|