In the published article, there was an error in affiliation for authors Xinhua Wang and Rong Gui. Instead of “Xinhua Wang7, Rong Gui8*”, it should be “Xinhua Wang8, Rong Gui2*”.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
machine learning, cardiac valvular surgery, complications, predict, model
Citation
Jiang H, Liu L, Wang Y, Ji H, Ma X, Wu J, Huang Y, Wang X, Gui R, Zhao Q and Chen B (2022) Corrigendum: Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery. Front. Cardiovasc. Med. 9:854588. doi: 10.3389/fcvm.2022.854588
Received
14 January 2022
Accepted
17 January 2022
Published
08 February 2022
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
9 - 2022
Updates
Copyright
© 2022 Jiang, Liu, Wang, Ji, Ma, Wu, Huang, Wang, Gui, Zhao and Chen.
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: Rong Gui aguirong@163.comBingyu Chen 1844035880@qq.comQinyu Zhao qinyu.zhao@anu.edu.au
†These authors have contributed equally to this work
This article was submitted to Heart Surgery, a section of the journal Frontiers in Cardiovascular Medicine
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.