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CORRECTION article

Front. Med., 10 June 2024
Sec. Precision Medicine
Volume 11 - 2024 | https://doi.org/10.3389/fmed.2024.1431299

Corrigendum: Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study

This article is a correction to:

  1. Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study

    1. Read original article
\r\nRustem YilmazRustem Yilmaz1Fatma Hilal Yagin Fatma Hilal Yagin2*Cemil ColakCemil Colak2Kenan ToprakKenan Toprak3Nagwan Abdel SameeNagwan Abdel Samee4Noha F. MahmoudNoha F. Mahmoud5Amnah Ali Alshahrani Amnah Ali Alshahrani6*
  • 1Department of Cardiology, Samsun Training and Research Hospital, Samsun University Faculty of Medicine, Samsun, Türkiye
  • 2Department of Biostatistics and Medical Informatics, Inonu University Faculty of Medicine, Malatya, Türkiye
  • 3Department of Cardiology, Faculty of Medicine, Harran University, Sanliurfa, Türkiye
  • 4Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
  • 5Department of Rehabilitation Sciences, Health and Rehabilitation Sciences College, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
  • 6Department of Computer Science, Applied College, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

A corrigendum on
Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study

by Yilmaz, R., Yagin, F. H., Colak, C., Toprak, K., Abdel Samee, N., Mahmoud, N. F., and Alshahrani, A. A. (2024). Front. Med. 11:1285067. doi: 10.3389/fmed.2024.1285067

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.

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.

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

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.tr; Amnah 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.