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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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Pubblicato in:Sci Rep
Autori principali: Myers, Paul D., Scirica, Benjamin M., Stultz, Collin M.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2017
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Accesso online: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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