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A machine learning approach to model for end-stage liver disease score in cardiac surgery.

Edgar Aranda-MichelIbrahim S SultanArman KilicValentino BiancoJames A BrownDerek Serna-Gallegos
Published in: Journal of cardiac surgery (2021)
MELD and mortality are nonlinear. MELD was insignificant in the Cox multivariable regression but was strongly important in the random forest survival model and when using bootstrapping, the superior utility was demonstrated of the machine-learned models.
Keyphrases
  • cardiac surgery
  • machine learning
  • deep learning
  • climate change
  • acute kidney injury
  • type diabetes
  • cardiovascular events
  • cardiovascular disease
  • risk factors
  • artificial intelligence
  • coronary artery disease