Conference item
Identification of patient deterioration in vital-sign data using one-class support vector machines
- Abstract:
-
Adverse hospital patient outcomes due to deterioration are often preceded by periods of physiological deterioration that is evident in the vital signs, such as heart rate, respiratory rate, etc. Clinical practice currently relies on periodic, manual observation of vital signs, which typically occurs every 2-to-4 hours in most hospital wards, and so patient deterioration may go unidentified. While continuous patient monitoring systems exist for those patients who are confined to a hospital bed...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
National Institute for Health Research Biomedical Research Centre Programme
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UK Goverment
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Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Pages:
- 125-131
- Host title:
- 2011 Federated Conference on Computer Science and Information Systems, FedCSIS 2011
- Publication date:
- 2011-12-14
- Source identifiers:
-
306980
- ISBN:
- 9781457700415
Item Description
- Keywords:
- Pubs id:
-
pubs:306980
- UUID:
-
uuid:04012ca1-40c4-4585-9a88-c9f245b81d2d
- Local pid:
- pubs:306980
- Deposit date:
- 2013-11-17
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2011
- Notes:
- © 2011 IEEE
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