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CORRECTION article

Front. Neurol., 07 August 2024
Sec. Stroke
Volume 15 - 2024 | https://doi.org/10.3389/fneur.2024.1470237

Corrigendum: Predicting 90-day prognosis for patients with stroke: a machine learning approach

This article is a correction to:

  1. Predicting 90-day prognosis for patients with stroke: a machine learning approach

    1. Read original article
\r\nAhmad A. Abujaber&#x;Ahmad A. Abujaber1†Ibraheem M. Alkhawaldeh&#x;Ibraheem M. Alkhawaldeh2†Yahia Imam&#x;Yahia Imam3†Abdulqadir J. Nashwan &#x;Abdulqadir J. Nashwan1*†Naveed AkhtarNaveed Akhtar4Ahmed OwnAhmed Own4Ahmad S. Tarawneh&#x;Ahmad S. Tarawneh5†Ahmad B. Hassanat&#x;Ahmad B. Hassanat5†
  • 1Nursing Department, Hamad Medical Corporation (HMC), Doha, Qatar
  • 2Faculty of Medicine, Mutah University, Al-Karak, Jordan
  • 3Neurology Section, Neuroscience Institute, Hamad Medical Corporation (HMC), Doha, Qatar
  • 4Neuroradiology Department, Neuroscience Institute, Hamad Medical Corporation (HMC), Doha, Qatar
  • 5Faculty of Information Technology, Mutah University, Al-Karak, Jordan

A corrigendum on
Predicting 90-day prognosis for patients with stroke: a machine learning approach

by Abujaber, A. A., Alkhawaldeh, I. M., Imam, Y., Nashwan, A. J., Akhtar, N., Own, A., Tarawneh, A. S., and Hassanat, A. B. (2023). Front. Neurol. 14:1270767. doi: 10.3389/fneur.2023.1270767

In the published article, there was an error in the Funding statement, which previously stated: The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Open Access funding provided by the Qatar National Library. The correct Funding statement appears below.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study has been funded by the Medical Research Center at Hamad Medical Corporation, Qatar (Grant No. MRC-01-22-594).

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: stroke, prognosis, ischemic stroke, hemorrhagic stroke, machine learning

Citation: Abujaber AA, Alkhawaldeh IM, Imam Y, Nashwan AJ, Akhtar N, Own A, Tarawneh AS and Hassanat AB (2024) Corrigendum: Predicting 90-day prognosis for patients with stroke: a machine learning approach. Front. Neurol. 15:1470237. doi: 10.3389/fneur.2024.1470237

Received: 25 July 2024; Accepted: 29 July 2024;
Published: 07 August 2024.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2024 Abujaber, Alkhawaldeh, Imam, Nashwan, Akhtar, Own, Tarawneh and Hassanat. 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: Abdulqadir J. Nashwan, anashwan@hamad.qa

†ORCID: Ahmad A. Abujaber orcid.org/0000-0002-8704-4991
Ibraheem M. Alkhawaldeh orcid.org/0000-0002-0187-1583
Yahia Imam orcid.org/0000-0003-4623-733X
Abdulqadir J. Nashwan orcid.org/0000-0003-4845-4119
Ahmad S. Tarawneh orcid.org/0009-0008-6193-9368
Ahmad B. Hassanat orcid.org/0000-0002-9991-304X

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.