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

2017; Public Library of Science; Volume: 12; Issue: 4 Linguagem: Inglês

10.1371/journal.pone.0174944

1932-6203

Stephen Weng, Jenna Reps, Joe Kai, Jonathan M. Garibaldi, Nadeem Qureshi,

Machine Learning in Healthcare

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.