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Vital-sign data fusion models for post-operative patients

Abstract:

Deterioration in Patients who undergo upper-gastrointestinal surgery may be evident in the vital signs prior to adverse events. A dataset comprising observational vital-sign data from 128 post-operative patients was used to explore the trajectory of patients vital-sign changes during their stay in the post-operative ward. A model of normality based on pre-discharge data from patients who had a "normal" recovery was constructed using kernel density estimates, and tested with "abnormal" data fr...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.5220/0003789104100413

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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:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
National Institute for Health Research Biomedical Research Centre Programme More from this funder
Publisher:
ScitePress Digital Library Publisher's website
Journal:
Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing Journal website
Volume:
1
Pages:
410-413
Host title:
Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing
Publication date:
2012-06-13
DOI:
Source identifiers:
340491
ISBN:
9789898425898
Keywords:
Pubs id:
pubs:340491
UUID:
uuid:28b8e12b-3a0b-410a-93db-ebee99ddde2c
Local pid:
pubs:340491
Deposit date:
2013-11-17

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