Machine learning for prediction of all-cause mortality after transcatheter aortic valve implantation.
Jacek KwiecinskiMaciej DabrowskiLuis Nombela-FrancoKajetan GrodeckiKonrad PieszkoZbigniew ChmielakAnna PylkoBreda HennesseyLukasz KalinczukGabriela Tirado-ConteBartosz RymuzaJanusz KochmanMaksymilian P OpolskiZenon HuczekMarc R DweckDamini DeyPilar Jimenez-QuevedoPiotr J SlomkaAdam WitkowskiPublished in: European heart journal. Quality of care & clinical outcomes (2023)
Machine learning based on readily available clinical data allows accurate prediction of 1-year all-cause mortality following a successful TAVI.
Keyphrases
- transcatheter aortic valve implantation
- machine learning
- aortic valve
- aortic valve replacement
- aortic stenosis
- big data
- artificial intelligence
- transcatheter aortic valve replacement
- ejection fraction
- high resolution
- electronic health record
- deep learning
- heart failure
- left ventricular
- coronary artery disease
- mass spectrometry