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CORRECTION article

Front. Neurosci., 03 May 2023
Sec. Translational Neuroscience

Corrigendum: Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: a data-based study

  • 1Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
  • 2China Rehabilitation Research Center, Beijing, China
  • 3School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao, Shandong, China

In the published article, there was an error in affiliation with duplicate affiliation 2 and 4, delete 4. Instead of “Wenlong Su3, 4,” it should be “Wenlong Su2, 3,” instead of “Zhiqing Tang4,” it should be “Zhiqing Tang2,” instead of “Hao Zhang1, 3, 4,” it should be “Hao Zhang2, 1, 3”.

There was an error in affiliation 1. Instead of “Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China”, it should be “Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China”.

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: TBI, back propagation neural network, prediction model, FMA, database

Citation: Dang H, Su W, Tang Z, Yue S and Zhang H (2023) Corrigendum: Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: a data-based study. Front. Neurosci. 17:1208118. doi: 10.3389/fnins.2023.1208118

Received: 18 April 2023; Accepted: 19 April 2023;
Published: 03 May 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2023 Dang, Su, Tang, Yue and Zhang. 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: Shouwei Yue, shouweiy@sdu.edu.cn; Hao Zhang, crrczh2020@163.com

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.