EHR

Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort

Twitter thread BHF Data Science Centre seminar by Dr Alex Handy

Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19

BHF Data Science Centre seminar by Dr Mehrdad Mizani

The adverse impact of COVID-19 pandemic on cardiovascular disease prevention and management in England, Scotland and Wales: A population-scale descriptive analysis of trends in medication data

BHF Data Science Centre seminar by Prof Reecha Sofat and Dr Caroline Dale

A nationwide deep learning pipeline to predict stroke and COVID-19 death in atrial fibrillation

Association of COVID-19 with arterial and venous vascular diseases: a population-wide cohort study of 48 million adults in England and Wales

BHF Data Science Centre seminar by Dr Samantha Ip & Dr Hoda Abbasizanjani

Understanding COVID-19 trajectories from a nationwide linked electronic health record cohort of 56 million people: phenotypes, severity, waves & vaccination

Twitter thread

Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort

BHF Data Science Centre seminar by Dr Alex Handy

Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource

CVD-COVID-UK/COVID-IMPACT

Contributing clinical experience, data wrangling and analytical skills to development of COVID-19 Severity phenotypes from linked EHR data for 54 million patients in England.