Improving cardiovascular risk prediction through machine learning modelling of irregularly repeated electronic health records.
Existing electronic health records (EHRs) often consist of abundant but irregular longitudinal measurements of risk factors. In this study, we aim to leverage such data to improve the risk prediction of atherosclerotic...
Read More