Temporal shift and predictive performance of machine learning for heart transplant outcomes-Reference-Cited by-同舟云学术

Temporal shift and predictive performance of machine learning for heart transplant outcomes

Published:2022-07 Issue:7 Volume:41 Page:928-936
ISSN:1053-2498
Container-title:The Journal of Heart and Lung Transplantation
language:en
Short-container-title:The Journal of Heart and Lung Transplantation

Author:

Miller Robert J.H.^ORCID,Sabovčik František^ORCID,Cauwenberghs Nicholas^ORCID,Vens Celine,Khush Kiran K.^ORCID,Heidenreich Paul A.^ORCID,Haddad Francois,Kuznetsova Tatiana^ORCID

Funder

Fonds Wetenschappelijk Onderzoek

KU Leuven

Health Resources and Services Administration

Publisher

Elsevier BV

Subject

Transplantation,Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery

Reference46 articles.

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2. OPTN/SRTR 2018 annual data report: heart;Colvin;Am J Transplant,2020

3. Donor selection in the modern era;Khush;Ann Cardiothoracic Surg,2018

4. Impact of donor-to-recipient weight ratio on survival after heart transplantation: analysis of the united network for organ sharing database;Patel;Circulation,2008

5. Cardiac size and sex-matching in heart transplantation: size matters in matters of sex and the heart;Reed;JACC Heart Fail,2014

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