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Machine Learning Improves Risk Stratification After Acute Coronary Syndrome
The accurate assessment of a patient’s risk of adverse events remains a mainstay of clinical care. Commonly used risk metrics have been based on logistic regression models that incorporate aspects of the medical history, presenting signs and symptoms, and lab values. More sophisticated methods, such...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5627253/ https://ncbi.nlm.nih.gov/pubmed/28978948 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-12951-x |
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