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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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| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2017
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5380334/ https://ncbi.nlm.nih.gov/pubmed/28376093 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0174944 |
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