Prediction of Major Adverse Cardiac Events After Transcatheter Aortic Valve Implantation: A Machine Learning Approach with GRACE Score.
Aslan ErdoganOmer GencDuygu InanAbdullah YildirimErsin IbisogluYeliz GulerDuygu GencAhmet GulerAli KaragozIbrahim Halil KurtCevat KirmaPublished in: Sisli Etfal Hastanesi tip bulteni (2024)
ML techniques hold the potential to enhance outcomes in clinical practice, especially when utilized alongside established clinical tools such as the GRACE score.
Keyphrases
- transcatheter aortic valve implantation
- machine learning
- clinical practice
- aortic valve replacement
- aortic valve
- aortic stenosis
- left ventricular
- transcatheter aortic valve replacement
- ejection fraction
- artificial intelligence
- big data
- heart failure
- emergency department
- risk assessment
- metabolic syndrome
- adverse drug
- deep learning
- skeletal muscle
- climate change