Can data fusion techniques predict adverse physiological events during haemodialysis?

Thesis

Intra-dialytic haemodynamic instability is a common and disabling problem which may lead to morbidity and mortality though repeated organ ischaemia, but it has proven difficult to link any particular blood pressure threshold with hard patient outcomes. The relationship between blood pressure and downstream organ ischaemia during haemodialysis has not been well characterised. Previous attempts to predict and prevent intra-dialytic hypotension have had mixed results, partly due to patient an...

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Authors: MacEwen, C

• DOI: 10.5287/ora-mqee0rr7d
• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: University of Oxford
• Language: English
• Keywords: Hypotension; Machine learning; Tissue perfusion; Haemodialysis; Measurement error; Cerebral ischaemia
• Subjects: Physiology; Nephrology