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Can machine-learning improve cardiovascular risk prediction using routine clinical data?
<span title="2017-04-04">2017</span>
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Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention. Machinelearning offers opportunity to improve accuracy by exploiting complex interactions between risk factors. We assessed whether machine-learning can improve cardiovascular risk prediction. OPEN ACCESS Citation: Weng SF, Reps J, Kai J, Garibaldi JM, Qureshi N (2017) Can machine-learning improve cardiovascular risk
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0174944">doi:10.1371/journal.pone.0174944</a>
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... using routine clinical data? PLoS ONE 12(4): e0174944. https://doi.org/ 10.
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