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ERRATUM article

Front. Neuroinform., 21 February 2023

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

  • Frontiers Media SA, Lausanne, Switzerland

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

by Chen, S., Liu, L.-p., Wang, Y.-j., Zhou, X.-h., Dong, H., Chen, Z.-w., Wu, J., Gui, R., and Zhao, Q.-y. (2022). Front. Neuroinform. 16:893452. doi: 10.3389/fninf.2022.893452

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.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

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