Heart, Lung, Blood, and Sleep Disorders
|
Records 1 - 5 (of 5 Records) |
| Query Trace: |
|---|
| Validation of cardiogenic shock phenotypes in a mixed cardiac intensive care unit population. Jentzer Jacob C et al. Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions 2022 |
| Machine learning prediction model of acute kidney injury after percutaneous coronary intervention. Kuno Toshiki et al. Scientific reports 2022 12(1) 749 |
| Contemporary Clinical and Coronary Anatomic Risk Model for 30-Day Mortality After Percutaneous Coronary Intervention. Doll Jacob A et al. Circulation. Cardiovascular interventions 2021 CIRCINTERVENTIONS121010863 |
| Cardiogenic shock and machine learning: A systematic review on prediction through clinical decision support softwares. Aleman Rene et al. Journal of cardiac surgery 2021 |
| Integrating the STOP-BANG score and clinical data to predict cardiovascular events after infarction: A machine learning study. Calvillo-Argüelles Oscar et al. Chest 2020 Apr |