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:
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