Загрузка...
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...
Сохранить в:
| Опубликовано в: : | Sci Rep |
|---|---|
| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group UK
2017
|
| Предметы: | |
| Online-ссылка: | 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 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|