Thesis
Modelling of vital-sign data from post-operative patients
- Alternative title:
- Machine learning approach to patient monitoring
- Abstract:
-
Thousands of in-hospital deaths each year in the UK are potentially preventable, being often preceded by physiological deterioration. The current standard of clinical practice for patient monitoring on general wards is the periodic observation of vital signs by nursing staff. The use of early warning score (EWS) systems should enable a more timely response to, and assessment of, acutely ill patients. The investigations described in this thesis seek to apply principled approaches based on m...
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Authors
Contributors
+ Tarassenko, L
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
+ Clifton, D
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
+ Young, D
Department:
John Radcliffe Hospital, University of Oxford
Role:
Examiner
+ Williams, C
Department:
Institute for Adaptive and Neural Computation, University of Edinburgh
Role:
Examiner
Funding
NIHR Biomedical Research Centre Programme
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Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:38c7598e-944f-4e2d-8c9f-4c902ee3a89c
- Deposit date:
- 2016-02-26
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Terms of use
- Copyright holder:
- Pimentel, M
- Copyright date:
- 2015
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