Using machine learning to improve survival prediction after heart transplantation.

Journal: Journal of cardiac surgery
Published Date:

Abstract

BACKGROUND: This study investigates the use of modern machine learning (ML) techniques to improve prediction of survival after orthotopic heart transplantation (OHT).

Authors

  • Brian Ayers
    Division of Cardiac Surgery, University of Rochester Medical Center, Rochester, New York.
  • Tuomas Sandholm
    Computer Science Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA. sandholm@cs.cmu.edu.
  • Igor Gosev
    Division of Cardiac Surgery, University of Rochester Medical Center, Rochester, New York.
  • Sunil Prasad
    Division of Cardiac Surgery, University of Rochester Medical Center, Rochester, New York. Electronic address: sunil_prasad@urmc.rochester.edu.
  • Arman Kilic
    Division of Cardiac Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. Electronic address: kilica2@upmc.edu.