A Machine Learning Model for the Accurate Prediction of 1-Year Survival in TAVI Patients: A Retrospective Observational Cohort Study.

Francesco Pollari Wolfgang HitzlMagnus RottmannFerdinand VogtMiroslaw LedwonChristian LanghammerDennis EcknerJürgen JesslThomas BertschMatthias PauschingerTheodor Fischlein

Published in: Journal of clinical medicine (2023)

Our model can predict the 1-year survival with very high negative and sufficiently high positive predictive value, with very high accuracy. The "reject option" allows a high performance and harmonic integration of machine learning in the clinical decision process.

Keyphrases

machine learning
end stage renal disease
ejection fraction
artificial intelligence
chronic kidney disease
newly diagnosed
aortic valve
big data
free survival
transcatheter aortic valve replacement
high resolution
mass spectrometry
peritoneal dialysis
patient reported outcomes
patient reported