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A retrospective cohort study predicting and validating impact of the COVID-19 pandemic in individuals with chronic kidney

Identifying Subtypes of Chronic Kidney Disease with Machine Learning: Development, Internal Validation and Prognostic Validation Using Electronic Health Records in 350067 Individuals

A Complex Systems Perspective on Macroprudential Regulation.

Using National Electronic Health Records for Pandemic Preparedness: Validation of a Parsimonious Model for Predicting Excess Deaths Among Those With COVID-19

Observational retrospective study examining health service costs of patients receiving surgery for chronic rhinosinusitis in England, using linked primary and secondary care electronic patient-level data

Predicting and Validating Risk of Pre-Pandemic and Excess Mortality in Individuals With Chronic Kidney Disease

UK phenomics platform for developing and validating EHR phenotypes: CALIBER

A population-based study of 92 clinically recognized risk factors for heart failure: co-occurrence, prognosis and preventive potential

A retrospective cohort study measured predicting and validating the impact of the COVID-19 pandemic in individuals with chronic kidney disease.

Adiposity and grip strength: a Mendelian randomisation study in UK Biobank