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Thesis

Machine learning-based multi-organ multi-modality modelling of end-organ changes with hypertension progression in the UK Biobank

Abstract:

Hypertension, or elevated blood pressure, is the major cause of premature death worldwide, accounting for nearly one-third of global mortality. It increases the risk of adverse outcomes in vital organs including brain, heart, kidneys, and vasculature. However, current clinical management guidelines still primarily focus on controlling blood pressure, with limited attention to the structural and functional alterations that develop in target organs over years of exposure. Moreover, traditional ...

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Authors

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
Radcliffe Department of Medicine
Sub department:
RDM-Division of Cardiovascular Medicine
Role:
Supervisor
ORCID:
0000-0001-9181-9297
Institution:
University of Oxford
Division:
MSD
Department:
Radcliffe Department of Medicine
Sub department:
RDM-Division of Cardiovascular Medicine
Role:
Supervisor
ORCID:
0000-0002-3703-0735
Institution:
University of Oxford
Division:
MSD
Department:
Radcliffe Department of Medicine
Sub department:
RDM-Division of Cardiovascular Medicine
Role:
Supervisor
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
ORCID:
0000-0001-8198-5128

DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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