In the published article, there was an error in affiliation 6. Instead of “Department of Computer Science and Information Technology, Applied College, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia]”, it should be “Department of Computer Science, Applied College, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia”.
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.
In the published article, there was an error in the Funding statement. It originally stated: “The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia (Project Number PNURSP2024R732”. The correct Funding statement appears below.
Statements
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R732), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
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.
In the published article, there was an error in the Acknowledgments statement. It originally stated: “The authors express their gratitude to Princess Nourah bint Abdulrahman University Researchers”. The correct Acknowledgments statement appears below.
Acknowledgments
“The authors express their gratitude to Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2024R732), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia”.
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
acute heart failure, XGBoost, explainable artificial intelligence, SHAP, hematological parameters
Citation
Yilmaz R, Yagin FH, Colak C, Toprak K, Abdel Samee N, Mahmoud NF and Alshahrani AA (2024) Corrigendum: Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study. Front. Med. 11:1431299. doi: 10.3389/fmed.2024.1431299
Received
11 May 2024
Accepted
28 May 2024
Published
10 June 2024
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
11 - 2024
Updates
Copyright
© 2024 Yilmaz, Yagin, Colak, Toprak, Abdel Samee, Mahmoud and Alshahrani.
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: Fatma Hilal Yagin hilal.yagin@inonu.edu.trAmnah Ali Alshahrani aaalshahrani@pnu.edu.sa
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.