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Gaussian process regression in vital-sign early warning systems.

Abstract:

The current standard of clinical practice for patient monitoring in most developed nations is connection of patients to vital-sign monitors, combined with frequent manual observation. In some nations, such as the UK, manual early warning score (EWS) systems have been mandated for use, in which scores are assigned to the manual observations, and care escalated if the scores exceed some pre-defined threshold. We argue that this manual system is far from ideal, and can be improved using machine ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/embc.2012.6347400

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More from this funder
Funding agency for:
Clifton, L
Grant:
Biomedical Research Centre Programme, Oxford
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Funding agency for:
Clifton, D
Grant:
Centre of Excellence in Personalised Healthcare WT 088877/Z/09/Z
More from this funder
Funding agency for:
Clifton, D
Grant:
Centre of Excellence in Personalised Healthcare WT 088877/Z/09/Z
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Volume:
2012
Pages:
6161-6164
Host title:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publication date:
2012-09-01
Event location:
United States
DOI:
ISSN:
1557-170X
Source identifiers:
368531
Keywords:
Pubs id:
pubs:368531
UUID:
uuid:95fbe152-e898-4e10-ae9d-3b3ee7a703ae
Local pid:
pubs:368531
Deposit date:
2013-11-17

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