Photo from wikipedia
Predicting outcomes in aortic stenosis (AS) is challenging, especially in low gradient AS (LGAS). Machine learning (ML) can identify important outcome predictors. In 1,130 patients with moderate or severe AS,… Click to show full abstract
Predicting outcomes in aortic stenosis (AS) is challenging, especially in low gradient AS (LGAS). Machine learning (ML) can identify important outcome predictors. In 1,130 patients with moderate or severe AS, we used bootstrap lasso regression (BLR), an ML tool, to identify echocardiographic and
Keywords:
machine learning;
aortic stenosis;
outcome;
prediction clinical
Journal Title: Journal of the American College of Cardiology
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!
Journal Title: Journal of the American College of Cardiology
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!