Machine learning–based mortality prediction models using national liver transplantation registries are feasible but have limited utility across countries-Reference-Cited by-同舟云学术

Machine learning–based mortality prediction models using national liver transplantation registries are feasible but have limited utility across countries

Published:2023-01 Issue:1 Volume:23 Page:64-71
ISSN:1600-6135
Container-title:American Journal of Transplantation
language:en
Short-container-title:American Journal of Transplantation

Author:

Ivanics Tommy^ORCID,So Delvin,Claasen Marco P.A.W.^ORCID,Wallace David^ORCID,Patel Madhukar S.^ORCID,Gravely Annabel^ORCID,Choi Woo Jin,Shwaartz Chaya^ORCID,Walker Kate^ORCID,Erdman Lauren^ORCID,Sapisochin Gonzalo^ORCID

Publisher

Elsevier BV

Subject

Pharmacology (medical),Transplantation,Immunology and Allergy

Reference40 articles.

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2. The Toronto postliver transplantation hepatocellular carcinoma recurrence calculator: a machine learning approach;Ivanics;Liver Transpl,2022

3. How to read articles that use machine learning: users’ guides to the medical literature;Liu;JAMA,2019

4. Machine learning and the profession of medicine;Darcy;JAMA,2016

5. Machine-learning algorithms predict graft failure after liver transplantation;Lau;Transplantation,2017

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