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Moving toward personalizing MELD exceptions in liver transplantation for hepatocellular carcinoma
Author(s) -
Parikh Neehar D.,
Agopian Vatche G.
Publication year - 2019
Publication title -
american journal of transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.89
H-Index - 188
eISSN - 1600-6143
pISSN - 1600-6135
DOI - 10.1111/ajt.15389
Subject(s) - hepatocellular carcinoma , medicine , liver transplantation , liver disease , transplantation , dropout (neural networks) , model for end stage liver disease , milan criteria , gastroenterology , oncology , machine learning , computer science
Parikh and Agopian offer a perspective on the implications of Mehta et al's article ( page 2210), which defines patients with hepatocellular carcinoma exceptions who had very low risk of dropout from the liver transplantation waitlist.