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...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Public Library of Science
2017
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| Online Access: | https://eprints.nottingham.ac.uk/41609/ |