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
Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource
Estimating the effect of reduced attendance at emergency departments for suspected cardiac conditions on cardiac mortality during the COVID-19 pandemic
Data-driven identification of ageing-related diseases from electronic health records