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Probabilistic Detection of Vital Sign Abnormality with Gaussian Process Regression

Abstract:

Vital-sign monitoring of patients within a hospital setting is a big component in the recognition and treatment of early signs of deterioration. Current vital-sign monitoring systems, including both manual early warning systems, and more sophisticated data fusion systems, typically make use of the most recently recorded data, and are unable to deal with missing data in a principled manner. The latter is particularly pertinent in the field of ambulatory monitoring, in which patient movement ca...

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Publication status:
Published

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Publisher copy:
10.1109/BIBE.2012.6399671

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science, Biomedical Research Centre
Role:
Author
Journal:
IEEE 12TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS and BIOENGINEERING
Pages:
187-192
Publication date:
2012-01-01
DOI:
URN:
uuid:a419bef8-7a10-4911-a271-4eaeb2b048bb
Source identifiers:
385175
Local pid:
pubs:385175

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