Discovering and Validating Disease Subtypes for Heart Failure using Unsupervised Machine Learning Methods
A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems.
The relationship between glycaemia, cognitive function, structural brain outcomes and dementia: A Mendelian randomization study in the UK Biobank
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER
Associations between measures of sarcopenic obesity and risk of cardiovascular disease and mortality: a cohort study and Mendelian randomization analysis using the UK Biobank
The relationship between sleep duration, cognition and dementia: a Mendelian randomization study