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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5627253/ https://www.ncbi.nlm.nih.gov/pubmed/28978948 http://dx.doi.org/10.1038/s41598-017-12951-x |