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Thesis

Machine learning for the detection of clinical deterioration on hospital wards

Abstract:

Assessment of physiological instability preceding adverse events on hospital wards has been previously investigated through clinical early warning score (EWS) systems. Such systems often rely on routinely collected vital-sign data, such as the National Early Warning Score system that is currently deployed across the United Kingdom. In this thesis, we propose improved and generalisable risk assessment algorithms, that can continuously alert for deterioration preceding the composite outcome ...

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Division:
MPLS
Department:
Engineering Science
Role:
Author

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Role:
Supervisor
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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