Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Journal:
PloS one
Published Date:
Apr 4, 2017
Abstract
BACKGROUND: Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention. Machine-learning offers opportunity to improve accuracy by exploiting complex interactions between risk factors. We assessed whether machine-learning can improve cardiovascular risk prediction.