Association of STS database variables with repair durability in ischemic mitral regurgitation using machine learning.

Puja KachrooAixia GuoRobert M MacGregorBrian P CuppsMarc R MoonRalph J DamianoHersh ManiarAkinobu ItohMichael K PasqueRandi Foraker

Published in: Journal of cardiac surgery (2021)

Readily-available STS Database variables have potential to play a significant role in the development of ML models to direct durable surgical therapy in IMR patients.

Keyphrases

end stage renal disease
newly diagnosed
ejection fraction
chronic kidney disease
peritoneal dialysis
prognostic factors
bone marrow
ischemia reperfusion injury
stem cells
emergency department
risk assessment
climate change
patient reported outcomes
brain injury
oxidative stress
replacement therapy