Conference item
Monitoring patient vital-sign deterioration trajectories using Bayesian inference
- Abstract:
- Vital signs recorded at the hospital bedside manually by clinical staff are key indicators of patient physiology and may be used to track patient deterioration. The low frequency of vital-sign observations by clinical staff (every 4, 8 or 12 hours) makes it difficult to determine the underlying distribution for each vital sign. In this paper we demonstrate how a Bayesian approach may be used to estimate the unknown parameters of vital sign data.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 199.2KB)
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Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- Proceedings of the 6th UKRI PG Conference in Biomedical Engineering and Medical Physics 2011
- Pages:
- 1
- Host title:
- Proceedings of the 6th UKRI PG Conference in Biomedical Engineering and Medical Physics 2011
- Publication date:
- 2011-08-01
- Acceptance date:
- 2011-08-01
- Event location:
- Glasgow
- Source identifiers:
-
638176
Item Description
- Keywords:
- Pubs id:
-
pubs:638176
- UUID:
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uuid:9947c878-1f04-4a64-95f0-a8951433ed99
- Local pid:
- pubs:638176
- Deposit date:
- 2018-02-01
Terms of use
- Copyright date:
- 2011
- Notes:
- Copyright © 2011
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