Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study

Due to a technical error, the Conflict of Interest statement had missed stating that the handling editor Zhe Luo declared a past co-authorship with the author Qin-yu Zhao.

A correction has been made to the section “Conflict of Interest”:

“The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The handling editor ZL declared a past co-authorship with the author Q-yZ.”

The publisher apologizes for this mistake. The original article has been updated.

Keywords: liver transplantation, massive blood transfusion, red cell transfusion, machine learning, prediction model

Citation: Frontiers Production Office (2023) Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study. Front. Neuroinform. 17:1161475. doi: 10.3389/fninf.2023.1161475

Received: 08 February 2023; Accepted: 08 February 2023;
Published: 21 February 2023.

Copyright © 2023 Frontiers Production Office. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Frontiers Production Office, yesproduction.office@frontiersin.org

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