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ESC Heart Failure
(Aug 2021)
State‐of‐the‐art machine learning improves predictive accuracy of 1‐year survival after heart transplantation
Polydoros N. Kampaktsis,
Serafeim Moustakidis,
Aspasia Tzani,
Ilias P. Doulamis,
Anastasios Drosou,
Andreas Tzoumas,
Rabea Asleh,
Alexandros Briasoulis
Affiliations
Polydoros N. Kampaktsis
Division of Cardiology New York University Langone Medical Center New York City NY USA
Serafeim Moustakidis
AiDEAS Tallinn 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
DOI
https://doi.org/10.1002/ehf2.13425
Journal volume & issue
Vol. 8, no. 4
pp. 3433 – 3436
Abstract
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No abstracts available.
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