Can machine-learning improve cardiovascular risk prediction using routine clinical data

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 a...

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Bibliographic Details
Main Authors: Weng, Stephen, Reps, Jenna M., Kai, Joe, Garibaldi, Jonathan M., Quereshi, Nadeem
Format: Article
Published: Public Library of Science 2017
Online Access:https://eprints.nottingham.ac.uk/41609/

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