State-of-the-art machine learning improves predictive accuracy of 1-year survival after heart transplantation.

Abstract

Authors

• Polydoros N Kampaktsis
• Serafeim Moustakidis
  AIDEAS OÜ, Narva mnt 5, Tallinn, Harju maakond, 10117, Estonia.
• Aspasia Tzani
  Brigham and Women's Hospital Heart and Vascular Center, Harvard Medical School, Boston, MA, USA.
• Ilias P Doulamis
  Division of Cardiac Surgery, Boston's Children Hospital, Boston, MA, USA.
• Anastasios Drosou
  Information Technologies Institute, National Center for Research and Technology, Thessaloniki, Greece.
• Andreas Tzoumas
  Aristotle University of Thessaloniki Medical School, Thessaloniki, Greece.
• Rabea Asleh
  Hadassah Medical Center, Jerusalem, Israel.
• Alexandros Briasoulis
  Division of Cardiovascular Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.

Keywords

External Resources