Conference item
Bayesian Gaussian processes for identifying the deteriorating patient
- Abstract:
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The step-down unit (SDU) is a high-acuity hospital environment, to which patients may be sent after discharge from the intensive care unit (ICU). About 1- in-7 patients will deteriorate in the SDU and require emergency readmission to the ICU. Upon readmission, these patients experience significantly higher mortality risks and lengths of stay. Gaussian process regression (GPR) models are proposed as a flexible, principled, probabilistic method to address the clinical need to monitor continuous...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Accepted manuscript, pdf, 225.4KB)
-
- Publisher copy:
- 10.1109/EMBC.2016.7591926
Authors
Funding
+ Wellcome Trust
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Funding agency for:
Pimentel, M
Grant:
HAVEN project, WT 103703/Z/14/Z
+ Royal Academy of Engineering
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Funding agency for:
Clifton, D
Grant:
Challenge Award
+ Balliol College, Oxford
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Funding agency for:
Clifton, D
Grant:
Challenge Award
+ Engineering and Physical Sciences Research Council
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Funding agency for:
Clifton, D
Grant:
Challenge Award
Clarendon Fund
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Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- IEEE Engineering in Medicine and Biology Conference Journal website
- Host title:
- 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Publication date:
- 2016-10-18
- Acceptance date:
- 2016-06-23
- Event location:
- Orlando, Florida, USA
- DOI:
- EISSN:
-
1558-4615
- ISSN:
-
1557-170X
- Source identifiers:
-
636777
- ISBN:
- 9781457702204
Item Description
- Pubs id:
-
pubs:636777
- UUID:
-
uuid:38363d93-94da-4389-87b9-8a92a8b99b29
- Local pid:
- pubs:636777
- Deposit date:
- 2016-08-04
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 IEEE. This is the accepted manuscript version of the paper. The final version is available online from IEEE at: https://doi.org/10.1109/EMBC.2016.7591926
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