State‐of‐the‐art machine learning improves predictive accuracy of 1‐year survival after heart transplantation-Reference-Cited by-同舟云学术

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

Published:2021-05-18 Issue:4 Volume:8 Page:3433-3436
ISSN:2055-5822
Container-title:ESC Heart Failure
language:en
Short-container-title:ESC Heart Failure

Author:

Kampaktsis Polydoros N.¹^ORCID,Moustakidis Serafeim²,Tzani Aspasia³,Doulamis Ilias P.⁴,Drosou Anastasios⁵,Tzoumas Andreas⁶,Asleh Rabea⁷,Briasoulis Alexandros⁸

Affiliation:

1. Division of Cardiology New York University Langone Medical Center New York City NY USA

2. AiDEAS Tallinn Estonia

3. Brigham and Women's Hospital Heart and Vascular Center Harvard Medical School Boston MA USA

4. Division of Cardiac Surgery Boston's Children Hospital Boston MA USA

5. Information Technologies Institute National Center for Research and Technology Thessaloniki Greece

6. Aristotle University of Thessaloniki Medical School Thessaloniki Greece

7. Hadassah Medical Center Jerusalem Israel

8. Division of Cardiovascular Medicine University of Iowa Carver College of Medicine Iowa City IA USA

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ehf2.13425

Reference10 articles.

1. 2013 ACCF/AHA Guideline for the Management of Heart Failure

2. The Drug-Intoxication Epidemic and Solid-Organ Transplantation

3. Cardiac Transplantation

4. A Machine Learning Approach to Management of Heart Failure Populations

5. The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival

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1. Extracorporeal membrane oxygenation as a bridge to advanced heart failure therapies;The Journal of Heart and Lung Transplantation;2023-08

2. Machine learning‐based prediction of mortality after heart transplantation in adults with congenital heart disease: A UNOS database analysis;Clinical Transplantation;2022-11-09

3. Cardiac allograft vasculopathy: Caveats and perspectives;Trends in Cardiovascular Medicine;2021-08