Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical utility
R Thomas Lumbers
Daniel F Freitag
Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic.
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER
Identification and mapping real-world data sources for heart failure, acute coronary syndrome, and atrial fibrillation
Weight change and the onset of cardiovascular diseases: emulating trials using electronic health records
Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource