Predicting outcomes in patients with aortic stenosis using machine learning: the Aortic Stenosis Risk (ASteRisk) score.
Mayooran NamasivayamPaul D MyersJohn V GuttagRomain CapouladePhillippe PibarotMichael H PicardJudy HungCollin M StultzPublished in: Open heart (2022)
In two separate longitudinal databases, ML identified prognostic features and produced an algorithm that predicts outcome for up to 5 years of follow-up in patients with AS, including patients with LGAS. Our algorithm, the Aortic Stenosis Risk (ASteRisk) score, is available online for public use.
Keyphrases
- aortic stenosis
- transcatheter aortic valve replacement
- ejection fraction
- aortic valve replacement
- aortic valve
- transcatheter aortic valve implantation
- left ventricular
- coronary artery disease
- machine learning
- deep learning
- healthcare
- mental health
- heart failure
- emergency department
- metabolic syndrome
- social media
- atrial fibrillation
- electronic health record
- weight loss